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) 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cDQcUts0D8eQ1iVDRAMBTsYiNdRIxE09EIBJO9A2xqgERTaW86BUFn0OD2xFO97FAgFhF6OoQ7prYt4XwSeUgQHiJyDbeke9IdQntciLQ1FlJMaYcUNvZBg+FB1ubjlnRNvl3o6IEU2w7fdNPhm/hh+FLysUu6++DLHkOkrSHYEjH0tEPe7WdD3uyDgvAgK/m4szFFR7ch0toUgBTdWHr7EpaWru6+6dmbbnqWEbV2EtxAsXiZAPTtGPSbHsotI2leoM8TePEqgSQprs7AGFf8kuOkPdZPXGb55POAW1d/jLST9v5YflasP6v/CO7+GNAPC2BMZWmsOjp2NNbfHwMCJD+LPVL+D/OYlWEEI/9jpPddOFkB5d1GSuKZYggmCCd7JUxD7EXAzxyirYnNDLdDZoFdx14kivkvGc3579Jm36reTTvDgBnaO6vzyQ6chQmlsMoIkIQ2+bBDWBud1Va4pcCn8CPqxlh/fgtG8IPaPH8C5wk6/nZDv69jurV5QhtwE0x2iqOsj9Mx8B9/0EaUdiPfOYYDCi/q9jhWRuupMDEU0+CtX0sDFxv07T/K5niBPqN9+tQjgEc31NGCXFeMcCEuQBIc/BK4CO78u7EPYvl3yaEfK3vcb6qP1R2tI7vUjVDDUdKubsSrNjYKY1qBEa2P50SJoaXiksIoLiCwnxS6EBuBde87botNfdEWwYvF/R0/u5yCqhGeEOR2ynSeyXjt6ka7neyye8kryBSWE52y+RBgogrXPZ8E1yIHoHIFUM+AbJhE7lbMtt8ApL+xmZW7PwbjAO0fAVoXQOuiSP/ksIVdFZ0aulsamKUzwPZ/NYDMJRBPCxsBqLzqHyneXF6Ej9HlIFo7+pg+jUb3unRmGpstGkm6etOuDBGA5wCMefp1gTHcdZlvPBXlOslvYTp1cd8UjYLVd/J5awNrIOKLnIt9MD9qdrKrWCvA6ALm3QV9VrsPm60Q7+RHJHP+2hqfugo/MvI2H/mqr4b9tFnKSRY1Y5Ek80Nm/WIhr1ikKnxGz9TWXrokf9xwujfvcOTtNTWnxd0F37Y2W79tteBqZ4G5qLCuomw+nSr28QESCRVLTyYKILGJOPfcnaIFOsewhRdvv+rWa/Wih0vlbX6Zb75T5C0qNKVFvH1QL/vazSWgC2s6oWXXIuUxQelKiJbowuJDQViatLmLijg9CQBMg8WiPgiw3LEeYRmm5f+XdnvkDnxLLjMLxtvX74C3OlwPQqx4xwIdpPx38LrlDphiyWUWHWKAzzxurS/xTo+P5wGFak62ap1PVFFN4v/y+xuR39WnIO7lsWfwgVsK17wxrs9K8ltIKuhkw7f/6dhK6gQokFKhWX3urrjk/rnI0pgfpGMeuQIUaEM7+GF5q2iMkCaMQwxxOzcvU0eXbsnS9XknXvP7Gtw5dwPXlFu2ecvSHEZgNDsU6x/GdXBYXyOQjzZReSedeEPY6nEv9gJR4oBQJtFO6Kd0fwC6BO4LNHDeBujB6dSNcUQC9zIv2LnAzGk99bUDrdFY+9yGFQtEo0GQPNv6vS2drj4+1jHbv3aJSMUWP+QTZrmbNTjU8wyG/iXNNpskybLcJ3CiTF5Ir+JYzmJwE0mSVhlxbtbmvweB3ulB6Til5UuUZydpgiFVeobhU0WaBqpJ198d+/XeNRTZ9/1OPfG7+2hwzd5W3D+hmyjsRcUg/+Cavb++Vh2ls3L7zT/etOnHNxeerv313vzLVqPai4nJv+K1FC6040/4udw7sAb3laSg0XCkAAs0npBO6VJabS4Elk/U+D4gTXW+j0wnrMlqNamq4tMIYB87tE10i0FR3LZNhJsb7/R561btmes8YBCRkhYNByRtKd55mqTas9FYhJnbRGHuOh3M4QTdgQSqmgRxuzGdSvZGcbMxNQGk5C3ebLjoXIOFM4l+WKHmLTJwRv9E8GWJ6dYvf/FmEyEGr+gyrr1p5zrgkz0Cw2j94Hv8Jdx7dIVegBSNtgsqGsRQEYiIBoXwD0LNvQ5d7s5Z00QzwNhqZA0b+tMG1tQq5nd84uq8R0zPvX35G8uRaze4jcOHzz0w1+Q2BIRvf6J6Kgatnrbiem+CFvAxfkrndzD9MFPP1GWTUHclpASUkCNAQkpCCcCgDSUDAhDZ+CuEkgn8J7i9nMA7pA4lISappxILKfAeSAbIcSDuN2bJcfZILqeO5rLs0MnngSHYRdrHjmaz7JEsEPw51ZqDJDmUIOZIe34WaQeegNsJn1qz8AIpT3yCjyEih/xELkuJ0lEMYTLVCiWpo5oYMleMH6USyYJcD+uOe+kWKpn1Qns34iyYDjkSLvgnZXcgVQNeqINXr48m3iS7cjm8tedyY0f1QvTnHHdsrKby/+SSbPY8/NH6vpl/Esq3Ae4ZU1HC44KFiI9o7CEgab/RqHbj7s5KAg06s39ZP/zxI/mVuF/TbTSy+3Fb8If9/cv7+wt91yy8RfP1QXtW5RzQn7qIiZyuFM5QfJ5E9uVnqT85TanFx0lkP3ukBAMprvsRyi/C8NAJL1xbIIirSvnSj4O5netb4JxmNANHPssHAcHMHsFRgEug816gDBeMbdfiuRcghqYcm0+Xxx/5IAEtN3fqFF3LzAXqwoT0PN0OVTNqxo8sxMkd5Ig6k79Zk7VxxX6gMLOZFQgvpW2RrMW1D0BDihaXQ9wVRoBxPLfpknmkeMtoB/qM9cRc9IqmMD2XUmdZ7GSRKPUZvChf8BoykriM2MnKYbOHX8R7cLdNCxSFFVQqoYswnlWtlFS2mNkhswVpZiQW1J/UKFfipHGlUkM6UKBhMz1istELIHJLMSctu3ugzfaVSOjKvUgc/THK4Sdg2Wscz69leKIkkrwuuWiOe9yGYKQXRumkC3qbRcMwrvhjNXgdZk3RxAUEhuSPvn3nnd++U/3vlVOmrJzCD8JLxV1OHRjrZifbcFDOuRNTGqdgQm1tSNJ2OcQ04YiEXuxtII1ECSQRoQGYioEsgCfchB4ghAtw7FfJre4WZ9hkVi9MtjuWqtdNDlpMrfEG9fOT6q21okg+e4As38MfGquNt7oUws6Ysarj1/efE+yst86YUVNvDdts3Pv5c8m/aP0C+f8/Qb+IMnGq09BgwN01oIOAnAdagI8mBSrqk1gxTDUBOtk2ousEtBH2z4Ir2d3f6k8PXXVlt2qN9RODxRuoJT/v27wm09jRYVc/e++iyx2tyzJb/n3J0htXP87eSsQaf2Ly0s6Zmxela88REy1cf4273mI3iXNJ7KxrZibOm9xm6rl4fqy/t27smU8tOfdW2ucBzg2UfmOIVyLIl3kpYlwphDISTXJXsctmiDtN7fNV6zelgxwnWxsVr83Aj/S5ki1jL/a0GC6+2L6Um+aoddlNFuj+bJ8mH/iaLh8I0/U51NspIEfq0dohwyFXKgm4NggwQ4rRhCOUFtxxo8XnitT4cnGfT93IS8FaT85XE3H5LMY4zIEPL1hw443wz+1UmhTJyJGxZzw+wsKkKZgUiVtKOKMEb2AKHTv61FNc01PQFwKnvsZ/9pPA4RKTASWahmh+8MxwzHxKy74IRn5LGRjsPUUwTu64UYNY38caqd7HKucZ/tHnODtENw/2UfHRMaq1UUPDJQ0OKkWCeet5fYOhII1VRz8+/Elg5j4Gxur3J8o2PJ4rg+2d08T/fwEzSVbyZ9XPro95T477lRKqUSRXQnauHNsISAl27oWi6Fv9z48JMv8r/aMMj8onCP/DuDZOuN+GPPr/+p7bx+7JlbYdppcNhzKU/1Px5aiaGDn/s1iGMaBcleKUo/v9rcxkZj7DBEKOfrayytXNLYiUdBY+pleQXdnscKlQcpzuWluxsieeyuXIK6SdxozitWyGOV3vOHHjguyCQ6fpIYy2JwvrQEF/Qa9Pdf/QqOSqCiE/EE1/XIVKTc2tzWbHnimrEd+Vyz311Ml3P0GVTj7PD5aDnsvCvH36alEaPMePcMegXs7x8igTu4B9v7G9vTHvhCu/kzIdx+BxC0ay9zRSvoS0F2lIxI+X7klU63I40gLQ3w5ep5na+SFnba3z5D64zv+QtM4n4ffG3tq4aNHGRfxgrXPMim+5487abL7xhdseIRn1KDl+7aINixdv0OD+JSPwKf5+xoP6aiTeQIDVlIhMcL1H5R9PYXvprs3fv2bO7MOplCmweuiq2JRZ1zz+9a/v2PH1Hfz9236w+ZrPXvWfAxlj4NLLHpq3c/PQ3uvmvbrjG7fe+o2y/cLdtE6VUlXi0ASb1VLUBVSUWSU4HdvAraTyS8xzM8NxvxFkXV6pUVRiJwcgC5zEeht4rwcp7ki0k41G0qlQhG1Vzlq8alEmnFi58caB5Q9vn988MLhqyVlHvLEWjtQFeupdiocF/tkkOGPW2ibWaBTkeZ/dvPWazXfOnnvL6jkRXpi85sFzZt+55ZptW3bl1cCCHZPD06MhySha7UFzjcjbp8fOecFCirzAG/yVjBX6OFIaadSjQq1nNhyIe8tVbaaSdHlXIWKacMeuZA1uxS95zILhyrxAdsXTL6m7kNQlx2P9uZf2qhufePFFbpI6/OU0WcP99RrCsrwseVot5mtytpf6Y0gm9sdeyKnPQ7onyK4nXlR/rg7H95M1upzu89DH6pgUcikoiihJ6NJKmRxV1x+MJiOA3YwhDRQrWU0u/0rvq0VYXnyCwsLeTJYBq3dAtJDavuzyoVpzZ99Z0+a0uoiFH/xcqgDR7rUFeOrUn6Cywb8ZeNMbhLV5ugP9l0zv9UN5b5mFkjzxUcpPJCn3V402pRxtJd2GrnLdhtVk9ZSZh9W91fCSH5B7ofxPiWL+j3D/uwhBRdyAyozeZwvQzs79soi+BKSnafLviZCcfrpBpLyimfLfTyJtbyruIQKD01tUwJyKEo/ybaxkSNFUMdMkhQoJyRBQFhnUkDQSXhTM+3NmY0EDM7ffLIjqWEGt8lCO6mLia3PukFnghosJD5p5SIho/VDkzQfLE+IrYoJXkD19pdP7OwG/voIUtagiWiZ4PAFTHHlTVhRZ7dYmPar+NJ+8JhmR6DFK5DV1foHoLNO/pHrvZfmWZ15RQlwvoVDKhCWNK3CCch9lfFBuAqUgpFSShmNaPj+i5++WZfKeViJfW5HnUakVL4UCNVkA4+ETfIqx4B5xSaP2L1yn0zn2ltPn4+OqZGmwwEVCaCSqG53ldtL1oLGAhdMLd09MpCCF6tD6ZnAZBY9hDaYsP0jzZ0j5ZjKsF4i1UmLuhbJMCnYJPt5VwFNvmZawXjEvLJqIH8STonZjq7BZ8gKgR20C9MDFqJAX1H64QW2NEup6qgzLP8cvppL/NNTOBTCJABOHeWoXzLhw4Wuy7gaBtjKr9kgKq8ZlRYBS32Lpxc8vIhpNDTfyNXWybMJbn2RyQ5EmWc2QF9wmSZ0KYCE+cPuYO6b15Uotj2Kd4MItLS7gtFbkTdrFND6pvEZqv5Yv7jXAus7Pg7avo7KDot50NX3CPkP+Kps8J9/3mGQIteY/LGPC+L7872SPR2br5fy8MtKBMHedGuM28/MZmPJMrGgi3Gb1S+Si1/L/zrZwO9XH1ce/z7ZQ1WSoY/+pMb5FT4ua0Wm+Jf/298nFmChEQ+Ti71est4mq9VYI6RsymoRJKYidElT2FGnDTZvqtfhGAFTbeqEw68GqtfmbVa/1IFO1/jdWr/8BDRRtQh9XNjubEm4aWVpVonpTGR7PVGc+KJNoBIWF7kYi4gUV3r1U6723i6TxUl3n3/tM27aZfKb7THiHW9VzFSwHJ05VfK6Ar7kaB0XgPPE0BSkSFKsBUpaLihEWoA9wBt8qirh2VSOkZwXEwyrxZ5jyt2rJmSo9gX7cg6jsEUGJU9z9xJPOEM3uQQxKgkh35DNATnVyrmJ3mbCNyIB/yox4wH1bg2DwN7q9kov4pFqny8oSm3RQbGgJ1QQTs6ZMLilOVYJ9v6Wha3HcJ9jddsXp9YhGUXLXt/qMDnvLpPNTXfNa60z5/yjXQOMq+lNmwh5egpYrdfZQZV9rI47xlRkuyTjpzsmCBSWNkAXVoK8sgYWqQJWbo1RLo6QH0YW6pxqfCnRgkd+RiFjUQUQ7poIaYoakgXxwFd9BuuI38H1xBxXSFb/pBDIKQFn7YB3dB36l7sG1FLaKiBdp1KxLvfswap/30lnVESgNnvjbUoT6w9N+Xoio0qcYOIM+heg940YimsucQVvli9NEcft2UZwGQwLuilj1fFr1i3NP94X+PE7Hpvtj6lBJfJ4R6NvWiaL6MgzWHxiN66DExa+dAdAbMYX6HVF8A+7rjEZIXAVbDe7PVI9rmN69JOLV1DOSvRPxWNPZBZf/Nf+Ny65BhYxxxV+77XJ2wfQ389/IQPgajXbwMsuAz/0IaQcXJavKbRqR2IqyZruXjVC2+hdee/5vdnYOedpmVtR3NGXldxSzDSIiBVpkGb9by89UpEPKrSLZmyFDzMab/wXl2CNe7s/qCtTvWgG5kpBmCBlSzDS/r8N4uwBwohRW63JTS1y32f0TQsPfXVGEHQrV8/NCfiOUVirYcBbIeA2+iF68rQIo3B/S628vYESr79ehzS7Q9LEL9UXmik9XVHb1yBO3Ngvt5935+k1efkV51mzzrM0LL3/20avnwMeKuWyOUZg2TasSqZ+KcZQiOn1Iu2Vh497ALUVZiCKt/gh6IvTIj1ZLRjWAkpHKOKovNwp00eqPROiAbiNEKieXwMLcXhVJ1/uzmLP4tfxaHR59cBdJVG1kTAgl9ze9QKUEQ946Hkb+okJ5JRDyf54Axur1D+WS49cLr0tTPEu7UmXrxcSr3XNvumv4yXzInXKH4F7Tc7p17Zt+t/qW2+93k063X7VW6lALxTY7i1nBXMxcxmzQbabxz+tJo+wijYaIGMNS8AoSMgAPt84DdHOoMPfjXhF+kuH1tZvuFQrRCN07xGcXRX9MYxYchDe5BcHj+Z4i+42WyPc8Xofi7bbZJN5nJLJ5qr6IqRtzqNlM17SpFsnkEyTWoABEjz4JXOQvzWYuwdnV5LNGOwTM5v9r4RpQ8ZXsYodks3o31JBlzbYtNotisnm22MxiwGFXam5oN1n0TA/hRvshvTSDwHff4nNzRo9Dum6PaJbMXzDz+x+Fkj4L4bFNBb1asqsgH7Dyh4DvbkPtf5yMDKzEwyoaESMSNS9P9gJVA3/RTlwoMwZvxECFWxIPNw9gi01nOHjP32esZTtmXHnxvZd8ZtakqQ7ekajbXetpNa6ocTVxJtY+uSe69OLz77zh5bDR3xjZMzUz6fxrz1nqrZGcHQHfPVefN+fiK86LeXj+Sc5lPKy+k/vCUI/DaLFYCWHr6nbXuILTIsb5imNKY/rCm28fSMxPhkN1XbNMNZGuqwOBhtTSxWuTk6bw0ZaG86b1hKddePOKuBvmiguYBn4T/yOqOyGRBt7bKUI1GjioBC8aUKwF7Q319UgcmtFGIzCJGBqwQij0ynDsfdFGc3TS3BlNfJ25xmzniMkpXXTPvCaD3ZaZvyzjmZdudBostmhb0ORZNN2sJBeed1HXkrUsywueQH+L0eCPxmsa5ZpgRJSDZ11yDv+jmbd86vxZfc1WcZJ3UkMq1BOOOVtvu/+pB+en186d3GTwWAw2jheaJs09/+LNfZft37DALyrNj1wABMuUKbODyTVnT/KYbJ3Tpq8IrNh92dkxOj5P/YpZx4/ycyiVcDYdn4JbEoKdQi9054iBKsygLW46FRGxAb0NPNCm8BSNCPjoKcj6EAus4SuP3rB+cV99/eTF6294dA8+TK6v74MHVpYNRt/I30e8QGTOOdfGWzzxcy+87a7bLjw37rHw1nPzp0KyyRSeZO+QQhInt3dYgvycjrPOv+T8s1rptaP84VeywdWX2T4ysr0/7TLIs6+x9zib56ye1dM9e/XsZmePY3NDs9zlnNVt4+WgHJbbz3Livg4P9WWgviOMm4kCRT6I8vw0NbUUEnFvOuFKoxQW1gTsvFirsF5pb7qTUCx4i7VmtToveaDxvK9uOaedVvPRpVOnNz0Q6bry7uiSdQ8t7Vy4JQKVS+XPplV2ts4bvCwZu+KzgITtxepaPRzWdpv74muvv6RO0SorX6cu/dqKn/XWnrtp/Zragz13DUCl5myiFW2Ycvb0PtsXnU+tx8pvLFbUspLX68mdegwmOif/NPDONajTGoUh6tU56HBJCTBASVvNUB5VIiKpc9kd7kludodSFz7xQbiOmMk5dOYk56gzL6uaf7N8a6MQOHm0ae6snZpFDfuT3/jdYzjzwkXXIVHoXNuCfQslQZqBZjTsoHMqrkE4jaYdgkGz2ATOgB3cPkSukD01DnV3ttb1wx+6arPqbkcNAHoFPzKUUQ+qL0k97pjbZv1I/egC9zTFbrrlFpNdmea+gIgfWW3wqkcis8ky5FAcRd1If5nNZrl2FFpungc8wpoCl1BpQV/ScS+zjlASyUTVv/AJ46gkJI4bHX4lTnloctxPZE1ckS3+jG2fKIjkQFyzuo8jvYQG1OrGvJPSTu/nSp9PHNTl4z5hK/8gtXVKF6gEKiglgcKiRlCESsQCV5QIlKWKpr34lt/wkSx/JCmP5/cBKQfl/5gd+rOS/+p91/+YCg5CXK2W4M9fu+/6xxX+vnelVuldIDCG0VQTpU9Dw4pRfei+6zWx0MLie0gPbyrkmRU7OwT16JGeyXLHqOLqAfVN1GPlBzWtFNzj0TRTCjogtP1NjIvu5habN5Aoa1k66wGpqriVetJgiGdwDZtKhnN0y4n9sXYnsqGmZfDSR15+5NLBlhoDaedEm7sxmpqRija6ZEEg2EAnTiAC8IrmFbGz1q08P9PSkjl/5bqzYqT9hMmptEXDgTqP3Wiye+sD4Wir4jCeoHbbp5hRfpB7BakUIppIlPCD30dR1GtslDz8OsqbXmejFC/v8wu5X2myq7SJ8Avzv9DFUJySf5uNvq4+Ti7W9D/OZrLChdwxmPNiBRqVjnpK/aGxRCDspVYKAW9AN1JANoo8wP4BJUlGqdgw6m1qPQ2QW3+OfU5/ieLS/NuKpDU3uf8bcAXyBal5jMR2NEAbPAZt0K3hvxHBEDlUxfIGcD+N2gNSNx36nfqlAYow0puatNpRz0e4W2oahKzQHsjf2c16ad/3t2KTtPobnX6D8C8pd0MDP+Kx7wnXqGGlLQcvikMErm6TmfsuxJXbSAxqNjOogJLQBLiKEHAE+JGTS3JoEhTrz8/CB+5YlupJ58aOat8Kv4JvregxwcU5Cp8GFAFm1FyOfto6GS2m1NGTS6CPNKkbsTdCBlnN9onMho55BX8IJZtEQ35lk+htwN5A0V3RCPoD/yXAcv6pAtbZczRUA64JmcUf4q7Q89ZHLeJVZ5D1Ps/t+0iCT3AHVtZC7JDCXfR7OSb/Xja5H3zQbZL1B+ULX1BMTEk3AseSpmnKEK4T9ekMIidUCRQFfcbj7z8gNLvzF7mbhQN8h6ZbRset+nQWdS/ZX3k7WpS8P9sfo0iGS64wV516pOhjI6TZ2dApgI5+LhxywYoWxKUrykKJsIoDsR4mSrCTg0egMPnLW/3Q5Nn8BZEuzqEI7HK3n0+zFmuO3TtWQ5WJoG9YqCD6Gc32SxnbnVPfsxvrFXK2dILl7bLthDp6glhcsfp4bYvbSmj/mQ94uBTw0E73x2jbNRCvC6VL6GCFDwU7eWQDcC5FY5s0slieRDwtAbRsbLXbaXAuu14e2OJw1dc6jQ3ZdY8v7rv2/BWZLqvFWVvvcmwZkK9f5jS4muO9yR5res4kfkRxhV03L1RfPOiPtYi8pd7jNEsOpyTwxpaY/yCZu/Amd5Or9uS3DYaeqVOhH7gZN/8I/wi1fEuLXvyNivibjuKvN+1Nc01HF/3h+ef/sOhox8MPd5SFucPjorQwXT+ytA8EmA5mamHNFDVhBI5pjZbQpugBNkO8MvRub8KVDKST1Wag7D3xlin1ZF7LFP/79nbvCXFOY+PUjrT7/otsPXXZ4exdPzuhZuL5LUXVAn7k7PbhG89uz3b41X01gbjP1xwlu5rrvvf9+pbs6E/Vu7Nk642/PYRaAiUBdrmO6CDTBLPQFA1ur0uXoBR1INDMkypKpoTqnSMx5GiEdTEaSHLs0Alvu/19/5QW9Rv1U1ridT22i+53pzumbs+XFFXYC++CGsTj5JUT/GCgRt3n78i2n71FHG4/u6X++9+raya7os3ZbDmgWfXun44e+u2NZKuGZ0HiF8M4TlMPR+EU6rPKRJ8wOU2RFUFLex3egEsz3YqEAq0cqhAAW19dBZIlVzR61tuIdTnpXH7l+uXrbjPUyep+8cl6aXKWhPHpDcXl9KiTWDNr4mBQc8Tq+NzK/OKSbsfl79o9G20R+brBXYvUg0rLHhtrc4TN81TTOWSZ0gL1ZVlOYH2ery/7XVUjFMbzYpg7UswcqJPQwBd0LKLabJ8IaCr2otcjSkIrGwootKECaUd4XH1+SdazRrfddkBU98t1htvWrbjqSqjaCguxrffM/5zDCpBALUycmajhd+R6ww4SWafuZ5eU+tPid4lgd3gt+b/Y9rQoZNmiXYPXyRHbRs8zX/f4WIFjWZJtUdSD55AP3xtXH+ZipC0EqdBGDA4CoYEU6gRLGPU11QhkLTBiEYPiqOeQgwTCl9aok1Qr5pFf71qEeNxjy/8F0GoqYPv75Yh9j3x4DuJ+uEzHRpAq2lMqb+qfTdiq6kGtzfOWsv0c7lSeMXDHBDe1MT+LUgx0Pg/p87u2UicdIvqQi8DkxhcUwUXCedMpb4NQjwY3npTmgsURJavLwCRyEcN2HfWsDVGfv/u9ZUWUx+PYFueUKwaNvbtu+Xps3eVWbN1GcgVrdMnWJ7WmJz9SD66EBidag0NF1Ukep0t5A7sFCWdhzvYwHv6L/BehXuHqfaBwBEU7hfVLcXvS4VQv+T/vaSIl7cbeMc7ekv9i8S3e1L5xxpvMGcu1EYPbKyCiijjGXcDKckm43PqU2qNWlXusZMiqF82cuVzolUHN9NNR0HZPxFPV9V0wLtvq+k4DqOwVWDlzuQLVdqFiP08cRX7aRlBVfR8cb55bWe5LExnlcsDp1vAP8Q9BucPMk1Ulh4GnN0SAdxcNHv3q9ohx1Ati4S/tkWjIDe3hQdkUGrGRaFBiUdiTSkI41UkMuuQHP+EaSQYlPQTFWJF03BNPpTu5KFAdkWgDukzsZKMG0Q1TAQQglScOaP/dsZ8+fP75D/9Uu5Gs3FY/2SxPld0DHOciXI9gqjcEidXjE+3BLosy0OcX3T7O5g65ROGyzQ2BZs7WbZVnO5ydLe32hMwTQ4wnnKXW6XW5LAa7oaXOIHoUl0FgLQLH2by8wSTWeAx2Y5PDazK3BqZbeJZwXGPaYhX87ZNszoDdaRxotXO1nNlpdvAPFWHDm8PqEE0sZxDEqGzxisFNnuCWetPcGrObN0p23tTZwMuRVodSV8+LTrOV3eRvzjQZiSjaLYS1WEJe0kNsJlZu9LFun7++wW4gRDRbaxw2nrOGm+xOj9cmtbp9ZqeTM1m8UXfQQCSTVSQox6pvtjot/FpHvIUjJovFEoYvHYV9C5Y/xN9OfcalvII37UEhTbTg/AQIaPb4Vz6j5u8/aViycMod/fkDcpu8QZbZoeBi/vbzP3XPsZvOubMtaPHkD9jt6+U2O7vqU/9C9SMvgrXpQNG/E0oJxun+CiElUa0IKQSUwERxOntKSV7ekcuh9VBZBBo3VUcB58ofKBHCwLyf9qFosz9Ibf8dGqwaBMjRig4SGOZ2UkWI7UiO9OfUPdxOYFApUZyfpY7mgEc5rtNGGk2H1lPhAk1Hp/VAMqQEHEUfEYkkUQq1JMdzsX7kklRrTrUi1wMcDjmu1YYfATj7Y+pGpPEBXuoQIj8rR9mgCl4C9yqmF7xnVWxGVniNqtpVmXBvQ6iwni5YQ8a1jYrXtc2J13HvgkvqWxuva1sbr+P2S5ceKGyBwDv2DbrToe1u6BkAJV7xnVLUaq0sJB8pFqcUIPi3yuwxi4JuLr+P30f3OkPQ72aO0xYo3/EsmO3QO5qEF8S0qQH0UsKXv0brnl9+8M7jF174+DsfvPOl1au/RL5/9DsbNnwHL2pHR1NTRxMZhJtHktOOxLxErPF6YlLvpC9YP73x+4ofw+3xVdrHcDE0dQQCmCRgvt9b35xINDf1CDcRSfJ+pYl+Sf8YcurfmXP5F/kj6J82jNsrkWiEuhVlgFfyNkB3S5MUzLhoNiwSCYcxQ7Ui4J0Xh7fmqRbaPa1tzujxkBRlsEHy0/OM4pYLPb7g9O6BQJN6l9zQ0OGyCaZz0vMTbHOzXfQ7a2tsterTcqxeInODoemdktw+1SbVhKwtW9ffe8VKadK0OVuC3bWzyKm5LeddsWTeorWyY9IMtUFutdu5g+Rn533qkocdvLs2HmhU75br/MmWtD8zA3OP2t1ea636jEzqYxJZGAwFiDEd61oTsrRuW3/3pYNi3bS+Rd+GjOfVpAPNd6y64Gsz1GaZleWIPoYL/v9mTeQBENVEguiF1aC4YeXxFETw6QyPfn0m9g8IrMFAvKM1EI11DARnbqibHk/Iojy5rSdgCyZi06y8sS024PeuO4MfwQ5Y9yKRZCqyYaF30vzeHlmUprR21tR0t0yz8KZY66zWuGvxVQB/36kP+K38t2Hu6NQ9SFJfw0AdpqPEK2qTMpf2VCqJwqPoJezTL824b8akoL+x03nhh+oNo5e77psxg9Q5LzebIKD+fsY34f2MtB9fk9v5b8PT6tYrgv4kRPwd0q9z3gdJSJ0653KjCYPwCaR5aUY63eW48O/kdo33yxX9wCiMv2QTrk8eGSI6Ag6moG9t2P/F7GRNlDjl0gw7pJ5aOXXqyqn8SENnXBmbSwUYLyqJjv3UmY1nKr4t80no0faXsaIEiF/BRaIBnItSce4OUif7W6Vm9T9H1X9Vj71BEm+RdmIJQST/ZfVdudUvh9S/qqNvqT98g9SQ3lHibZY0mRVHooyDN/FHmTgzjdozKw28NwQ0hwN6BCoPKaEk3YtKwNhwRLXuk076CGoZNXDQcRwZvreTZY9EZi+d0s4+ztv8iei04JQl6ZbDD2eHV7X4uHuFVfPrOmcs6m6Kr7hssr+1VZFcEZ/PdJkn1hOs8SXS/NFFgqt94PIZzZ3tdaL6Q5vo6piSzdy737pwsX1VyxUrF15iJ4uNkq+rbyg1Z+O8VsNC1UmcvORPRfxtPrfRwL2p/oA1eZp6Z/aGffoewaXcA/xBlKlQLfhQL/oPgBGP3qsA7IQS8qDVNswHKRSheDUvA3Q7MZoRcJMxlEygujn1QdyzfPfq3dEp/bXh5e5YXW2Ngfvza0ZF6UgFL/E0fTq4LBlvTE2qb/KuuzYSXVnjTfM1osvqMHVbm9950quIZlbqaL6YP7jk3kUtA0GnX2nvq53f3WoSsvEdDRnULgo2fN7lNZJgI8/VWi33c3bBZnGY05+dm+3qc7fNmj4YGKLj2nfqFP+g7jdDlxEV5XsJQZP6hYrS1l0VQr4c69Xueixp90gnZPmE5OF22j+SYEWHlZ0K/Hgsh/Ztsbh6h2DNRlvv6jJh9XaJaHCZDiUDKNTMkvb8vsqCyf3ZNdSmO0fa0Y4baJTtpbKzuVzeeSI7fCKr2Z0WypapnXJ4gnoWy3PoUIlIQ1TXdqhQJIXp9Wx5fYdpeWh2TY5D+YVyKd0jw3iumwi/BC3cEy4o83QlZnW79MrCgCjbhWXBlRZVVZZv4rIKpXC01HFlHdHLoeWVl6UVc/J5uGm6CViW5mulYMk+HqNYr0AyUPivLg2oMs2MPqtuhHyRyiwvNJej1Br+fcLyoAyu8D9B7bgmzUqfFobF5nKnK4+t8MPJkI/xHUNWk117jugWF+xazTAALQn6+UE9lhoI5ApGA/iuJOsrlNP28SVVuBVajXmircLel46w2bJS1Q0Ft0KDuikDFL/3pYrid1Q4FvofwRIo4R9h2ftSwc6jHAMqLcCql8YPHtlzGoByNXYN6v8hXnRaOhUvx0sVLCexwupGDR4NOYC7PePa5keIPACnuAdD7dEadRuTIiS6Lb7uskb381My5yjzF8lGCjBRqdwrWJCagfB3yCy7XT1i92hbcZ5Ci1FJkgYMDf6n+jspIsHFjJrTOdzSMuOa9DbDcj/nH9N9bIoGVgzHPWIQuFuYtaMRaq8eCKI0gEF6lPOZjBz3EEvaaxwSUT9U/8JbJZPJJLBLolH1La/RbF9AbC8JJjv/mMnssKjLRBJyqj9QXxNko0Ux/X79epfiXkm6fmKwF/en1HLc6LxloXWKvGa5rVCVL83VuiPcDEX/K5pTXOxHfx6HHB0t2FI0qI2rCZFTrvPWU67zVuS/kTsLnc7IKhFg30e4FOkqNSfH5PtkmUy6Cpiv/36k2sbqCeCFNa+URpoY0sZoYmCgCr3qgZz6s8I0gP1bYiR+D79H56NOz0EVWCTy2/fffvSCCx59W7uRV9995eqrX8GLesOXNm360iZ+T/El3uZqL+FyzSZ8XxpTiI/G0nkT4zznFZ0t4ipMz5v4q9ssqbdKUZt6u82knPCrt6PZwsnn0XySVnyPR1ZXAn72yx48bWJsu7apnI3Hy8bygUK5Js32qcytapqgmn95uexccj205vGgJ+euOeG2SORmKZr/qKzcx9SFctMJdwMUFZDJITs7dnOp1EKZCxg304Cevyfya+vlKqv6aXK1qIj3imL+L6hL+yvUlFfE0VKZ7E8gBY3M/8VoJCFgizH1W6VyC76nH6b7jiibYVxUmVIEspry/LgZIlCeP11Z4zs/AwvVwtGFEut5S1JY4lfyT0N/evOLo+rUEgjcqc9IkGpQbv3iW7Co5b+KgjvpzYdH85PLcc4X21ouwEGl/S4qnUAvoSlXUUhR1eKr2VWFTB+GMl6FsiQsVD1R3urlAAIoSn7JQkmiVVCHSpCwDH/qPepXQ0Db77CJOAImohB+RPWr31ev5g/kE+zTa4lbvZo8xdWPffQu9yJTPCNB66s+zXoJt/0L6hSoCuBIoK8fnBGG87OoRckJpLqyWe4YbpGi50g0+3I3UD85Oa0fzubfoXxPLbW3FDWzigmyJeM0tQkax7PqTy80+UxfUHPlBZIRVNQ+v0xRm8REKPoLmNr0+Uo48v9GFbXPKylqQ2IKm00QddgyWGMROCTxdLB9nCY8P7j2DjlsV/+mfr0C0r/NkeXbbpPlOTBBwT0mVz1zx9S/wJecBF9Wgv3p032iP2v4VSgfgW2G+HUEdEXU6iq4CtpLJfIN9XQG8dwa1VoO8XC2SrPDDyCOQptXgbcPvlAgBfxBoGwftQKeKFrNTASPt3pGGqDt/QRasn2kri+H6L80MJRsmVYJrAKyDItpJUy3/15WYIJqcJ9Q5N/LFJ4c3dc1URpWl9hW6mu50MUIelg4ucTPf15zs5DFo1c0VSp1tKB9jkwIyuM45kb+IP8gHed+6jO3v0KbIknzLy636E8KPTdCuUpB0wLo9JKnAO6pv0vS31EtBha/fJemkgLVVnd8KCk4qBTpQ5m7FbifBKrPJcq0pZAFVG/XbOFz+Tcq2MLrcmV28Nmi/OHskh82bau0k8eWCaPijQPWQ5lUvslwVCfHkXBMIehqUgtDNLeauH1huvZTbYmw+luPjyWoNGEuxRLR7LK5fSyXFUyK7PURQv2v8D3XOt2NJ6liBbmPGOsakw1kbeOs+31Wm5qpH+iJWSzqdPr2O7zc2TmtnrzCig6bBd/vgQmzOlz0STWIlmZEQfupogOZFHUZ7EkUnMn0RrpIMqAgHRJAOjIJ3yGw1I/MAp9q9S3Q/clADNm1wEeO+xbwg5OIYHZLY3ehG5lJk2xhco+6JWybpEVz2wrR6hZyD0QXZbeDVB+onmlimpkWprdAs4WEZDSQppsDlcdCBJJESIYFuAtUnC4GIF2C3Uu2Kv7L1bdz6FxtqxpG4TqQOqOUNAJ2HLvPWA2GgDy4O4vaDrtyl6P+1fAll+SyFcQ28GHqh7fvvf37udylf0fNwhzgz87Y+cf5x9GnF6ygHu18sAbipWeF0YPBgp2GaKeQduxxdEr3SgbH1kvH7tvqSLhedomOvZyts2dw8acu3dY/f+ucuMtCuP/e4zC4XnH3OLZ8ZuxTWxy8dJfU5dhDeKPSlJy5pn/+7u3XrJhmr9C5CuleGflGQocKnlAUaRKp0BAHV0ZwUt9VCqk6zYOgRIuMfePJzdmBdpPJ7/6B23+f+sp9NMDZevovvfYHG5dGPISQq1DojqNckchVrCcCYz/Q0hI0m3NKDRfkgsrnamo+p0CAq1FyvC3a3Nak/s5VX282x9Ufy3E39VAx6o7LpCvO2wK+ch9jNqpJCutcIOooKnYWtDK8gTRVYygRQfwgzKM5+jP2jOZdx3r32Py7rQUPOzAnoRs95NvRAR0qLGU11Taqu1bUYSzMcWjMEir067JQQHfIrLBHsrgv00/Wavd8HRLMEEYFSW3HCSNQehnrHztKqHcDyo4VfZ6gPKCR+gufwA8GegxUEo4A+gd0BASHiH6jYMLIsUdQJTs/C641KN4oCHWolCMLlMfIdtWKScjx7SM5LD9HnfmhrGI0S139UWfUnxgOXdJFW+AMcGjKr6eHAttHF5sUoeArYKDcxMSYcKA/xUDhPiEOEAPafSIUFArN0r24ynI91EPARDXvIDYyvqZaWeroBOUABQA/E+DXC7PWafDLQY2oiwpUEyj4RQtVlUp1GrM7In2p2A7VuiOW6otMiGOo5Mrp05ejVuTy6dNX/k/7mybZQ0nUmfrbx3U4KueDnlHm5wdh8FFeKnoaKKh/TK18StOPhwG9Xo5mqXAxvw/79YQwwDR+nAKQQ4izVXioB84qcppWB7IqjU45z4CE17OvF1Dw+oTFqxtz8dxwtogBnF9MjIl/in+K8s3hM9laIn0TiCbTAXL0T798bPXqx36p3chrv0O+GC9Xaj48Ecv8U8UEeBvUEsDlTepiU5OvlpeNGvpnKF0RvUooWhIjnx6GeBapXCQYTw9DNg6/OC3gZjp76oNTj9Kz6Jqobxb9NDqc08vcKReOpcsQV2K8InXFaXW3aI6Ofr1k48rp7CX7rx+v1UKPsfvzQU0Kc83i2VdILmd2/yX55zT9luN2+Cu4nKfwPcK/CvDVU+pHh8+LaldIf1fA5h3ndT6Fln9/W/9Ce1vndfvJtnPVO2xhm3qbafHVCN1X363UXHq9xuVD8OSD29Z8pZ5cZrern9cAdGW/uib/ud+VK0L9a42r6C90kL8KzxwLQw9NkIQJL0ASU8M+VG0KsUdgdvpgP/6NqqP0/gHZFUfGEijZLHpiIgvV5/Bltrj8Qd7XQd5p4P+7tJo30NMO6VGBwahSPMYiaaBYoLY6uEnciyhhh1Z/vvacG/rjpsvnpzs0B1Id6fmX8119l88XnOxe/uGrzzHcdu7UtY3+2vmXN5zUyj3ZcPl8p1sZSs6/nGXtwrV7Ka0XZdz83fwjjINpZWYw85lL8BRK4nGyIir2RiOsEyipuEcIakpGjWgBjLiHWOgj0Yi34gW1kKPxHt2Na5q+lwg1RdRSpFDNzosb44YJXnAfoEOpZW//6u1lhYA6leevezbI26zNHO811M2dc5HFxpk4i1jPC0s21/BWW5DnPQbn2X1WK43/aM2n18DfSoybbNHijFpamzXI31eRibGUOxSu/lT96YZlq1Yt20DaSBuG6knw2eusHs5EPBfNmVvHKdaQzcDfz9ZsXmLDWGXy2U5OsYSsIn8CS12jQIyD12KKqZrLPy7mSPdICmd6WGHG8NDZkkHuE4h9TU8FpmUO/VjC/EinToFyoNDz2p9XD6g78WgQdPG7Z3R0T/Z5dTM9lsL8Ktek7szl2L+gQwGgwkZHc2g5Su7NvVqwGy2Ua4KSXUwt1X4PaM5paaEu6jQ5zVFyNabxvUksVt2T/4VeamYPlLtffdQsk+2sUTY/zDXl/05W53/Bz9UK3p7LjapZ2ZxOm+UlZXrL3HHGqO8+wVroDaCTTnTxitMxmiAAYQzVJQH+nj3oIHnPaN6Zq6sNSLjBl8tKgVr2mj/9CWi9dnKca8rBQBsd5R1tzVlgrl5pbnPw6kZclCr2CHxMnHohLz+3KRQokzALyeIKFU1TNCiayJdoHvDYe7K6mZLm8S3uJ9dojuaJ62/qN/tjQxnSnhnKPw+LNrLi8ZKyJ3x1YhiI1aNAtP6NzCGzYv3DmaGh/LvQZnt0evgIhTFV0kE/PYxAnOHhCQUZdCWY5JWJwMzlAGl1mpNbDU7yyGnhRMILsYhH3VRAijrPcBU8/Cj1Y9NY6cnGVW0CjTLaz7E3epvaT/LtTV72Rs+0WVVmd0dz/MGTI5F0OsIviaqDlbbO5X6xT3PeXbXHRtf/z+fdka+eKPr8KF7IF4vBsT9MFPuPJMBTBMq9hQxXelQ+bewnf18ap4Ib+mSMrtDU5zqlD8QANa5MBGh/OwOvSDfcV2d66mfEWsbGWmIz6nsyZDWQSmqmxDneYyvjHPmRXHZxeueyRGLZzvRioKnGto9nIPkibAJA16adcOZRQr1iAP3bUyBR7T4RgAWTKxhkCYFwshq+7iV9r0whk50cmRcTg4fy5x4OmmNkHndIA2+YuMbmE9dwGYB4KFTsvnDE6Ah47r/fE3AYI+oXADpkdlENcZ8OZEEf8FFGZNxMs6ZLpG3SUFLL7Q2kcFU/A/Jsw+vWDa/7emewLaoeibaF1B9qUNnuqWK3+UfXYVL1v/omD15xxeDkPnXTOKSVcCbDGtOu0YQNpGAP7U1HU58UrqGu8xIbHtkQ3LVhb7Dx46ET3Ffcm1q0YcOizNmf3bC3VjWfAcpSv3MyTlgJ23FHQgmgvk+gk8pL0mcCDOn08MDAQlf+/SlTZ1z12fnqntOhbOTL9/ZdevbAPN+yby1f/uUtC/ixm8ZBo59LTXEW060hGrTDplNprWd58fwB/b/E27BdS/s7U+rGVCeQ46nzaw9QccnmZerGZZs3Yw9aVHt+Kh6HN4ti6lxIhT/wahnZtWwzlY9QHQ2c79C+dxzvVDKy8GqKWQERO9YAKbpsDUTLdWV5dE8PVPjvj9pqw7ah/PFVtkit7aj6G5xY9mfJrCz1j1e0BcnPol4UjtrCdbahIVtd2HaURujnFJR8CuOuUUfhrGhgKKgjCYNSvCc1WKlEp8wHUaAYynFNyzZn+2MnYv36dbMDBTonl/T/ma5IKAyEGz+4eRnVtaX6tss2o34u8mWorFtuFgm4A6qK/yp/gLEBVat5WnPDdKA574ubuFJ/IUfZ/Y2Nt6mN+ZNNTSTaeI56gKwkXerTe9DDHUw8/H35FY3nNN7GGuBKWhrV9ep+0k1WjNWVaHkW1yA+QHWNu8rtBw2a5YXuE40rs7/GA+j09V3hA98yRnFPOGr8ltGlsFdD/7tRce3LH6Trcneuiy7K7J3khKu+3qUaXPWaX7T6/Kfj9BX2eZq2XAcZT79u1ClJzUtHUqfqSMWBcZS43Ena0cUGLgpkKxB1QM+0Fxz10wgg6r5rltnFpH05pepUq3Y2HfYqeKRntmUFNz+XmcOs1H31U6cC6RTVLfCg7RNBF1UF2/wBgu0fFQtPEU1sSg3VcNsR7dWq3af87tUFn1l3ltXpaJxpNvtcZkH2WmMst3JqRpxUH+WC0E1qOGtP66s1MYv+VLu8/XFXvV/ZbunYYBeVN64ls0ur6NzpV9xzlmQwB5qC4Tq70WC0tk8dWJXeHvkD0h9zJOM0vD86/1NJMaIAolctvlByferCsqOKDKceOfUu1PsmoFCamV5mCrMUOCi6V6FJosMF22AcrKJgQDVhfYh6tepp/lYgvnCEAbJQ1L0rOpajEmRcasMiPfxhgGoVo4rwreQpV6fUJHH2e8fa1s2c13Apl1b89a58ozdoap2sjgLN9uISl7P1DrulyeIkt0zr6JjWocoPOZsaXPb6jtqBblsgsaRre2xHi4nELm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<pre class="r"><code>##loading libraries
library(jiebaR)</code></pre>
<pre><code>## Loading required package: jiebaRD</code></pre>
<pre class="r"><code>library(quanteda)</code></pre>
<pre><code>## Package version: 4.1.0
## Unicode version: 15.1
## ICU version: 74.1</code></pre>
<pre><code>## Parallel computing: 12 of 12 threads used.</code></pre>
<pre><code>## See https://quanteda.io for tutorials and examples.</code></pre>
<pre class="r"><code>library(tidytext)
library(topicmodels)
library(tidyverse)</code></pre>
<pre><code>## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr     1.1.4     ✔ readr     2.1.5
## ✔ forcats   1.0.0     ✔ stringr   1.5.1
## ✔ ggplot2   3.5.1     ✔ tibble    3.2.1
## ✔ lubridate 1.9.4     ✔ tidyr     1.3.1
## ✔ purrr     1.0.2</code></pre>
<pre><code>## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag()    masks stats::lag()
## ℹ Use the conflicted package (&lt;http://conflicted.r-lib.org/&gt;) to force all conflicts to become errors</code></pre>
<pre class="r"><code>library(ggplot2)
library(scales)</code></pre>
<pre><code>## 
## Attaching package: &#39;scales&#39;
## 
## The following object is masked from &#39;package:purrr&#39;:
## 
##     discard
## 
## The following object is masked from &#39;package:readr&#39;:
## 
##     col_factor</code></pre>
<pre class="r"><code>library(ldatuning)
library(stopwords)
library(writexl)
#library(easyGgplot2)
library(stm)</code></pre>
<pre><code>## stm v1.3.7 successfully loaded. See ?stm for help. 
##  Papers, resources, and other materials at structuraltopicmodel.com</code></pre>
<pre class="r"><code>library(dplyr)
#library(padr)
#library(reshape)
library(gridExtra)</code></pre>
<pre><code>## 
## Attaching package: &#39;gridExtra&#39;
## 
## The following object is masked from &#39;package:dplyr&#39;:
## 
##     combine</code></pre>
<pre class="r"><code>library(jtools)
library(stargazer)</code></pre>
<pre><code>## 
## Please cite as: 
## 
##  Hlavac, Marek (2022). stargazer: Well-Formatted Regression and Summary Statistics Tables.
##  R package version 5.2.3. https://CRAN.R-project.org/package=stargazer</code></pre>
<pre class="r"><code>library(ggstance)</code></pre>
<pre><code>## 
## Attaching package: &#39;ggstance&#39;
## 
## The following objects are masked from &#39;package:ggplot2&#39;:
## 
##     geom_errorbarh, GeomErrorbarh</code></pre>
<pre class="r"><code>library(sqldf)</code></pre>
<pre><code>## Loading required package: gsubfn
## Loading required package: proto
## Loading required package: RSQLite</code></pre>
<pre class="r"><code>library(broom.mixed)
library(stm)
library(survey)</code></pre>
<pre><code>## Loading required package: grid
## Loading required package: Matrix
## 
## Attaching package: &#39;Matrix&#39;
## 
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## 
## Loading required package: survival
## 
## Attaching package: &#39;survey&#39;
## 
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## 
##     dotchart</code></pre>
<pre class="r"><code>library(MASS)</code></pre>
<pre><code>## 
## Attaching package: &#39;MASS&#39;
## 
## The following object is masked from &#39;package:dplyr&#39;:
## 
##     select</code></pre>
<pre class="r"><code>library(statmod)
library(mediation)</code></pre>
<pre><code>## Loading required package: mvtnorm
## 
## Attaching package: &#39;mvtnorm&#39;
## 
## The following object is masked from &#39;package:jtools&#39;:
## 
##     standardize
## 
## Loading required package: sandwich
## mediation: Causal Mediation Analysis
## Version: 4.5.0</code></pre>
<pre class="r"><code>library(vtable)</code></pre>
<pre><code>## Loading required package: kableExtra
## 
## Attaching package: &#39;kableExtra&#39;
## 
## The following object is masked from &#39;package:dplyr&#39;:
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##     group_rows</code></pre>
<pre class="r"><code>library(ggpubr)
library(rstatix)</code></pre>
<pre><code>## 
## Attaching package: &#39;rstatix&#39;
## 
## The following object is masked from &#39;package:MASS&#39;:
## 
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<pre class="r"><code>library(pwr)
library(syuzhet)</code></pre>
<pre><code>## 
## Attaching package: &#39;syuzhet&#39;
## 
## The following object is masked from &#39;package:scales&#39;:
## 
##     rescale</code></pre>
<pre class="r"><code>library(ggfortify)</code></pre>
<pre><code>## Warning: package &#39;ggfortify&#39; was built under R version 4.4.3</code></pre>
<pre class="r"><code>##loading data

#main survey data
data &lt;- read.csv(&quot;C:/Users/alexy/Dropbox/Working Projects/Manufacturing Status Loss/ISQ R&amp;R/ISQ final files/Replication-final/creatingstatuslossdata.csv&quot;, stringsAsFactors= F)

#text data for Appendix 2
mfa &lt;- read.csv(&quot;C:/Users/alexy/Dropbox/Working Projects/Manufacturing Status Loss/ISQ R&amp;R/ISQ final files/Replication-Final/mfa.csv&quot;, stringsAsFactors= F)


##cleaning survey data

data$treatment &lt;- ifelse(
  (data$group == &quot;Treatment&quot;), 1, 0)

##creating demographic variables

data$male &lt;- ifelse((data$gender == &quot;2&quot;), 1, 0)
data$yob &lt;- as.numeric(data$yob)
data$age &lt;- 2021 - data$yob


##creating DV variables

data$rankingscore &lt;- (data$now + data$tenyears + data$shouldlead + data$deservelead)/4
data$respectscore &lt;- (data$ownperception + data$otherperception + data$respect + data$morality + data$principles + data$emulation) /6 
data$competencescore &lt;- (data$rightthing + data$better + data$domore) /3
data$statusscore &lt;- (data$rankingscore + data$respectscore + data$competencescore) /3</code></pre>
<pre class="r"><code>#########################
###MODELS FOR TABLE 2####
#########################

rankingmodel &lt;- lm(formula = rankingscore ~ treatment + age + male + education + leaning + income + internationalaffairs, data = data)

respectmodel &lt;- lm(formula = respectscore ~ treatment + age + male + education + leaning + income + internationalaffairs, data = data)

competencemodel &lt;- lm(formula = competencescore ~ treatment + age + male + education + leaning + income + internationalaffairs, data = data)

#######################
###CREATING TABLE 2####
#######################

stargazer(rankingmodel, respectmodel, competencemodel, covariate.labels=c(&quot;Delegitimation (treatment)&quot;,&quot;Age&quot;,
&quot;Male&quot;,&quot;Education&quot;,&quot;Political Leaning&quot;,&quot;Income&quot;, &quot;Knowledge of International Affairs&quot;), type = &quot;latex&quot;)</code></pre>
<pre><code>## 
## % Table created by stargazer v.5.2.3 by Marek Hlavac, Social Policy Institute. E-mail: marek.hlavac at gmail.com
## % Date and time: Tue, Apr 29, 2025 - 9:30:45 AM
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lccc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{3}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-4} 
## \\[-1.8ex] &amp; rankingscore &amp; respectscore &amp; competencescore \\ 
## \\[-1.8ex] &amp; (1) &amp; (2) &amp; (3)\\ 
## \hline \\[-1.8ex] 
##  Delegitimation (treatment) &amp; $-$0.220$^{***}$ &amp; $-$0.227$^{***}$ &amp; $-$0.336$^{***}$ \\ 
##   &amp; (0.052) &amp; (0.060) &amp; (0.064) \\ 
##   &amp; &amp; &amp; \\ 
##  Age &amp; 0.007$^{***}$ &amp; 0.001 &amp; 0.004$^{**}$ \\ 
##   &amp; (0.002) &amp; (0.002) &amp; (0.002) \\ 
##   &amp; &amp; &amp; \\ 
##  Male &amp; 0.169$^{***}$ &amp; 0.022 &amp; 0.013 \\ 
##   &amp; (0.053) &amp; (0.062) &amp; (0.066) \\ 
##   &amp; &amp; &amp; \\ 
##  Education &amp; 0.005 &amp; $-$0.020 &amp; $-$0.029 \\ 
##   &amp; (0.018) &amp; (0.021) &amp; (0.022) \\ 
##   &amp; &amp; &amp; \\ 
##  Political Leaning &amp; $-$0.038 &amp; 0.013 &amp; 0.007 \\ 
##   &amp; (0.027) &amp; (0.032) &amp; (0.034) \\ 
##   &amp; &amp; &amp; \\ 
##  Income &amp; 0.022$^{**}$ &amp; 0.019$^{*}$ &amp; 0.030$^{**}$ \\ 
##   &amp; (0.010) &amp; (0.011) &amp; (0.012) \\ 
##   &amp; &amp; &amp; \\ 
##  Knowledge of International Affairs &amp; 0.053$^{***}$ &amp; 0.043$^{**}$ &amp; 0.048$^{**}$ \\ 
##   &amp; (0.017) &amp; (0.020) &amp; (0.021) \\ 
##   &amp; &amp; &amp; \\ 
##  Constant &amp; 3.604$^{***}$ &amp; 3.446$^{***}$ &amp; 3.571$^{***}$ \\ 
##   &amp; (0.143) &amp; (0.168) &amp; (0.178) \\ 
##   &amp; &amp; &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 1,646 &amp; 1,646 &amp; 1,646 \\ 
## R$^{2}$ &amp; 0.048 &amp; 0.014 &amp; 0.029 \\ 
## Adjusted R$^{2}$ &amp; 0.044 &amp; 0.010 &amp; 0.024 \\ 
## Residual Std. Error (df = 1638) &amp; 1.044 &amp; 1.224 &amp; 1.297 \\ 
## F Statistic (df = 7; 1638) &amp; 11.856$^{***}$ &amp; 3.443$^{***}$ &amp; 6.881$^{***}$ \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{3}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<pre class="r"><code>#############################################
#####CREATING GRAPH 2 BY BREAKING DVS########
#############################################

##RANKING QUESTIONS##
nowmodel &lt;- lm(formula = now ~ treatment + age + male + education + leaning + income + internationalaffairs, data = data)
tenyearsmodel &lt;- lm(formula = tenyears ~ treatment + age + male + education + leaning + income + internationalaffairs, data = data)
shouldleadmodel &lt;- lm(formula = shouldlead ~ treatment + age + male + education + leaning + income + internationalaffairs, data = data)
deserveleadmodel &lt;- lm(formula = deservelead ~ treatment + age + male + education + leaning + income + internationalaffairs, data = data)

##RANKING ROBUSTNESS VISUALIZATION##
rankingrobustness &lt;- plot_summs(nowmodel, tenyearsmodel, shouldleadmodel, deserveleadmodel, scale = TRUE, ci_level = 0.95, inner_ci_level = .834, coefs = c(&quot;Delegitimation (treatment)&quot; = &quot;treatment&quot;), model.names = c(&quot;US ranking now&quot;, &quot;US ranking in ten years&quot;, &quot;Should US lead?&quot;, &quot;Does the US deserve to lead?&quot;))

##RESPECT QUESTIONS##
ownperceptionmodel &lt;- lm(formula = ownperception ~ treatment + age + male + education + leaning + income + internationalaffairs, data = data)
otherperceptionmodel &lt;- lm(formula = otherperception ~ treatment + age + male + education + leaning + income + internationalaffairs, data = data)
respectrmodel &lt;- lm(formula = respect ~ treatment + age + male + education + leaning + income + internationalaffairs, data = data)
moralitymodel &lt;- lm(formula = morality ~ treatment + age + male + education + leaning + income + internationalaffairs, data = data)
principlesmodel &lt;- lm(formula = principles ~ treatment + age + male + education + leaning + income + internationalaffairs, data = data)
emulationmodel &lt;- lm(formula = emulation ~ treatment + age + male + education + leaning + income + internationalaffairs, data = data)

##RESPECT ROBUSTNESS VISUALIZATION##
respectrobustness &lt;- plot_summs(ownperceptionmodel, otherperceptionmodel, respectrmodel, moralitymodel, principlesmodel, emulationmodel, scale = TRUE, ci_level = 0.95, inner_ci_level = .834, coefs = c(&quot;Delegitimation (treatment)&quot; = &quot;treatment&quot;), model.names = c(&quot;Own perception of US&quot;, &quot;Others&#39; perception of US&quot;, &quot;Do people respect the US?&quot;, &quot;Does the US act on morality??&quot;, &quot;Does the US act on principles? &quot;, &quot;Is the US a model for emulation?&quot;))

##COMPETENCE QUESTIONS

rightthingmodel &lt;- lm(formula = rightthing ~ treatment + age + male + education + leaning + income + internationalaffairs, data = data)
bettermodel &lt;- lm(formula = better ~ treatment + age + male + education + leaning + income + internationalaffairs, data = data)
domoremodel &lt;- lm(formula = domore ~ treatment + age + male + education + leaning + income + internationalaffairs, data = data)

##COMPETENCE ROBUSTNESS VISUALIZATION##

competencerobustness &lt;- plot_summs(rightthingmodel, bettermodel, domoremodel, deserveleadmodel, scale = TRUE, inner_ci_level = .834, coefs = c(&quot;Delegitimation (treatment)&quot; = &quot;treatment&quot;), model.names = c(&quot;Do the right thing?&quot;, &quot;Does the US make the world better?&quot;, &quot;Should the US do more?&quot;))


##CALLING GRAPH 2 IN MAIN MANUSCRIPT

graph2 &lt;- ggarrange(rankingrobustness, respectrobustness, competencerobustness,
ncol = 1, nrow = 3)

graph2</code></pre>
<p><img role="img" 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RbazOYak5xLDtl+PN8n5sjYaxCpY4GytaOTV28fbIHmufLNrQXqjjVSgSpxVhn0AAQaS8D2iwFsga7ltJPjPSY8exFoao7zRsZe05g0jTGKbqM0F+gySc4+qVjea6BGyUtilQnUPms7bZYNJVBNmxUGjUYvEQbcucZqX51aAiVXMp12kj1e7qOzvdbWlQGB8i9EW4XBHqt7klKzD9T2VJ7QMQrvoQ/UXUhrFL6qYNpZa7E994E+a0Kr1DVLvC/j9VnvASsl6UWgqbwyv184H2vhBgLdSf2lnHwyplHD4lsLGxe1RuErKnrkW51ReJdAXaPwN6IwhdF6Zyx31dh51plLoD5G4VsqEAIdYcDuBbrUKiBKimkyf5ixZXpsRODoasX23zy8EMvsuEBZtYR91PexOdnH98VWvnFIJpfV0OCbuxldoJhl9kHK78vikUbRVHnZQsCX1zV/3U6p/TARuQiHb+NmUVM07Y275oFWVPRSxyCSYx6oS6CueaD8OLOQZbHcAi05QVugXuaBtjXgAQt0tINIfdRAHZ1LafJqxpbXyZV2fCTipRopWPLKyuRG2THfx804+ckSaH4IRQlUdMJObjL7IFlevhJbP9Iomiyv7M8NoWZbR6D/8VE9zm7B/9l4utQ1Zm6kNU/yb8OjuRJJyKaqD3TB1/uwX8xKYq9Ecgk0b0Obia1ClsQqH92yz1olyouw10qkBqKsJ8COst0bCLQ23QuUXJqTqy+Fo1K5hjqZ0MH5B3lrTNlCQmFNcVELO+r7SKLNZWIJND9ERhFr/+j9+0EO4RYO4g/TZWU1jjSKJspL7kpy8xLD7NEZ0Rl1H6gs6tNqRTr756G4TH0i+xvZl5913bB/NOaVApWj3cf/OBMtBy2JvRbeKdC1fDCymdgqZEmsEoE6z1qXtLiK9loL78tztui6yndPINDadC9QpjrSLv5Nl6i8eRbqar9R3VALvnBmLltVwo5qn3hsj/6YtuIhKso0y/sQKg9K+WCycaRWNFXNCcGcgjoCPTrTJo/xLolz9vdgPihJbFRPY+I6kcfQtfHVAiWemrHeDtnA1pPIIKds7LxUoOKv1U5cLKQ7VtkEVfdZy9g8bbbn05g8ac7huc4y3g8ItDY9CDTbPjKFJmd5L32qddl/+8uvlwkXqHjCA3PZXF7TQmdq33rG0y4sgebJZZRp/pxens4+iJdywcaL9SONoonykrvy+FONH6EX/F9zi7wV3fwZm41J6w/jeGe9z3tBuquBdpXvvox3TKf3gH0IlPJEqzb5V3Wz8OppIgQqapx8ZmFiClTtS/V6YuY8REWZ5o9o4x2f9kHMnayo5pFG0fKhJtp4/G2wG13Hv0DFxCBr9k8/qH+/BsDPE+nbmq5/U+57hl0x3oB9CZSwuSi2m3kn1OT0zadbh0BfzeQrHloJVFuN4hZoSjY5jjSKpiZE0SF82Zs3MP4FSk6Z9phu7tzvUeqa4WadeXon0v4CfOYxuUfG67PeA3YgUHXzsXaR9l1ro6X5I3NE09gS6FRazhaorA3WFKhuA4dAv1+crBa8f0870iyadm9v//w6SfapsHRFB91GSzniMsw8rf1ejumR5V6BO5oH2i61V8brs94DehdoPhbATVf8Lj8yIUll8REAU6DFUXi1r7wPtKwJr90dDoFmi8mfbsX0qPxIs2hm5Wj7YcDuOkUX/e5sHuxR4WUbvSHeC98769leVd9uViLtnfBrTAId7SBSgSbKLKDm84lR9Hyy8qKgttxSaVI0IFMiN27RjsJz+jrnKoGqArHcXAKlkzynWeFIs2iivHKsQY0yDUnf1xwQdLIWvqo+6Qz49etXb8WoFbBLINAc2pFGR6qfLtUSkcn1qtCzZjTh6RsWnALlCrbsyMY6XPNAbYFSz4l3QDzMirVcCe37nIsP6kizaHl56QGbQQZZikCgA9HF05gq2+OugF+/dmhQCLQxrf2pvfRL+FKNZk/yBrJsEov3ep184OtZCgLlNT7LjqUrkYpuXPPVTrJA9Nl2LoHKVdWZcaRRNH3Qiw3E9z/LxwICHYgOngda3Z8JgfoPGPIDlfnzP/kicvZdLCrXZtKrPkU6RfTo2m5eL+X85qnDjnwt/O4+0Ox3/l4dvsL9Lc/QFqj2JB7tSKNoqry8k/Bq+AY8BDoY/p9Iv2M8yBHw69cuDTreMZ1gAwaIvzFbL49+6h0IdCA6eSfSfgGZPLszaPw+O2SBipEcf8sqh5zB3QIIdCC6eCvnngG5OiHQ8QQMCPrexRV98bevkfCHEIaE9gcCHQj/N9+O6UhWwK9KoN0YNH6fHbJAifD0Maq2LLzl1DMQ6EAMf7dLccYjUAwi9QkdlJr4mu39Yah1N22BQAdicIF+1QTaiUEhUBA/EOhA+Lv5vjbGVwZdn2FNIFDQOxDoQECg3oFAQe9AoAMRgEA95tDtGdYk/oAgOCDQgdj35mssuTr26yTv+H0GgQIIdCAgUO/EHxAEBwQ6EIMLtNPcm5xha+IPCIIDAh0ICNQ7GEQCvQOBDsTQg0hdZNLVGdYEAgW9A4EOBATqHQgU9A4EOhADC7SjXLo5w5pAoKB3INCBGFag3WXTxRnWJP6AIDgg0IEY7m5vKsTGAfsi/oAgOCDQgYBAvRN/QBAcEOhADHi39+PPA/AZBAog0IGI/27HIBKIHwh0IA7AZxAoiB4IdCAOwGcQKIgeCHQgDsBnECiIHgh0IA7AZwgIogcCHYj473YEBPEDgQ5E/Hc7AoL4gUAHIv67HQFB/ECgAxH/3Y5BJBA/EOhAHIDPINCWPHvWbf6gPRDoQByAzyDQVjyjdBkAeAACHYgD8BkE2oZnz2DQEQCBDsQB+AwBW8Dk2cKg248vkiQ5fcu+LJL5zgTfL55/lp/TZOrYLD8aWVtpyxG5bl4XUo8aCHQgorrbEdA3Qp2NDbqeJZxjajavAjWzttKWw3NditTntc8laCDQgYjpbkfAljxzUbqnRobb2+Tknvz5eMmk5VOghayttOWwXIl+z1fZ9n2S3NQ4j/CBQAdivHc7AnoPWKHJZgJNk5MV+/D9YvLOr0ALWVtpqwo1pUXhWS9lNiMHAh2I8d7t4QYc7SBSlSUbCXSpDMjcSf6zvkySM66szR1pQZ/dq738cCHBh1kyua4SaCFr/aDNHWndn97zbY+0q/PoiodUuZL6K695rmd1nBs+EOhAHIDPINC6VEqyWQ3U0NMiecU6LlmlL+V9mJObzCHQBdv3c2UN1DYf37PWMs7ei67OKY9fyFWryI4cCHQgDsBnEGhdqh3ZQKDfL5LJ1Rf1lQjs5J5WA2+Y5s6+0E5IrW2vBJqSimK2XSQVAi1kne8hO2jv5oeEa3ZCx9kfWBQ7V3rw7l6FMQCBDsQB+AwCrcsORe4v0GxzSet8p79x0y14dY/pUjbBF7xH0hQo/07a2RWj8GbW+Z6l6t2cq4x5i93OdXOh10bHDAQ6EAfgMwSsi/caKNHVI/Mc7/cUIzdLvROStaELApXjQssqgZpZqz3bWzGmtJ6Jxvm3v/x6SQfb7VxJLXgaRQMeAh2M8d7tCOg9oPc+UM4TnfHOezY1TwrPaTVOTaBckdUT6Y2s1R5iZgndzuupCRdoIVfa2N/r9wkYCHQgxnu3I6D3gLZAW47CKzYXWoNaG2x3C1QOje8WqMpa7SFW1ARKB5Qmp28+0fqulWssU5goEOhAjPduR0DvAR0CbTUPVJuiabfU962BqqyYCItZq7y0Hby/c5WJPlAr1zrTUscCBDoQ473bww0YzSBS7skKtVagOjptge7bB1rMqvidIZrw+doimRGpljr6QBeRrEKiQKADcQA+g0CbI0S5b4tdslT9k8XBdnMUnn9h4+Mlo/B5e5tsndtZM8QoPD+QelU6M03yHgQj12iAQAfiAHwGgbaAqbOpP9lkzesVW3RUmO4p5oF+uxMzNJPrbHObSIGSnXO2UD1XHdl0/In8+XTJzVnIWoTj80DpInk225Q34bcfEiZQR67RAIEOxAH4DAJtQ4MRIw01CF5ccGSuROJD58//WY0uLR1rhuTTl4QvzawZYo3SLH/OUso/nnzQnsAkc2Xt+liAQAfiAHyGgK1o4086WZOvRWfT3Q2B6mvhsy35fHyfamvhX5hr4TP5/E+5rL2QNcNYC8+f9Ennih5dy35SI1cIFLQnsrsdAf3Txp+gJyDQgYjtbkdA/8Cf4QOBDkR0dzsCggMEAh2I+O92DCKB+IFAB+IAfAaBguiBQAfiAHwGgYLogUAH4gB8BoGC6IFAB+IAfIaAIHog0IGI/25HQBA/EOhAxH+3IyCIHwh0IOK/2xEQxA8EOhDx3+0YRALxA4EOxAH4DAIF0QOBDsQB+AwCBdEDgQ7EAfgMAgXRA4EOxAH4DAFB9ECgAxH/3Y6AIH4g0IGI/25HQBA/EOhAxH+3IyCIHwh0IOK/2zGIBOIHAh2IA/AZBAqiBwIdiAPwGQQKogcCHYgD8BkECqIHAh2IA/AZAoLogUAHIv67HQFB/ECgAxH/3Y6AIH4g0IGI/25HQBA/EOhAxH+3YxCpLV+7zR54AAIdiAPwGQTajq9fYdDggUAH4gB8BoG24utXGDR8INCBOACfQaCtgEDHAAQKQIh8/QqDjgAIFIAAYfJsbNDvFwnn5dWXvRNvP56T/y6SeXWE558LH7cfX5CIp2/tg9NkuncpahSxslQViOJsXpcUdx8gUAAChKuztUCTZHK9b2Lul70Fup6JiMeWw7wLtCzDfQS6FMV1q7guECgAQ/PVSdmOGhkqkTzdJcnNnqVpJtDtbXJyT749XtpyC1GgxPfnq2z7fv/fxwACBWBoyj3ZVqC0olXHKTrNBJomJyvxdfLOmaNHPAh0IbJYynI3AwIFYGi6FCipGbIq1obURZOze75xc0fa26f8C+sKfKka+uR4wpQKdH1JUqysBMUI/ONSOc1Q78MsmVzLTseyqNqONJmTJMcvRL2Q51qILotYOKm8VMbxjzTS0dXKLI78WUhNdN9/YAwgUACGpkKTrQUqHJTyHsoJs8Za+yK7LqX+coG+YntY/UxPYEWQNVCXiBYs3c8s99Ko+o6UhT154Hu45orRlUDTYrF4UYzj3ydaJL04ghQ1UADGTZUlWwt0PSOGIE45+0J7/Gjz+vsF6/77QJVHZPQjEcjjLG93yyY87dMkNbYbM4EdgX8kx0ysIf+UjmFtF0xfpVGN3FOubDUwRf5wRE+lkfOTyotSyG9Cx9kf2DF6cVSK6q6KXUCgAAxNxwIln2UDm/X8LVX337y8x3LBa2asPa4nsCPIdvMlrd2d/qZLlLfmiS6rohq5p8KGC9bCXhYTGkU0TiovinG86E/gVVm9OJzNRcvuWQgUgKGplKQPgaoeP9pg3d4Ke9G6Kdlz/MlMLAXKzLJk/YVaAjuCmgf6yBQqu02zfDzJykSPauYuW9SsEKzYruj5XnlSeVHs47/95ddLOtiuF0f+Nsm0TQMeAgVgeDoXqKrxccOoSaKsvkanbv6macQYhefu0xNYEfRgT3QyvbUntTLRopo7pAxZUlZ5dkVPeZ+AdlJ5wMLxvGKccIHmxRGHt5wFCoECMDzVjmwpUKok9Z1+0GbZ060PL/h88lWeoCDQQoJihMLcoU3eqyhHuFM7kzyquUPJbUHsuBR9p2UC1U4qL4p5PB1Qmpy++URrq3pxMn5yrQaQKBAoAEOzQ5HtBMoVqFXWrG7P7Z/pTJ9CB6MhUKufVN8mRnrUd7NFLXMsjWru0OQ25210V/SqGqhxPO3vFNVcRw10x1zXOkCgAAyN3YSvokaGRv2Q9SMafaD24pvth8TsYCw04e0E+TYmzOJ3EVvvAy2Jau5QclvPTv7/mVjiZCWs7gNN9NlWvATsV7D6QBftViFRIFAAQqK5NTU0gb5ndimMwsuBmpOVbNYWR2h0gRoJZAjV/CXCmmf6iqd8ULwwCl8S1chdCXR7O/lVjmNZ0XeMwufHS2emST4kr4/CtwYCBSAoPPgzHxh/es2nBfEpk9/u5DxQumydzfEUS9g3mlS4qHSB6gkkJEc2kP50yc1J54Fer9jioLwJTQ6as/Xm04qoRu75Is1lIpapO6LzIhonlZ93IdCUzQllAtWL4wkIFIDo0J/GJJq5+uoc8YUNQcs1QfkzlOiWk5UuUCOBRG6T+lLD3dp6JfHIo5+tTIyo+o5coOQQUae1o/Milq1EMvNjnHzQnsAkVyKxdn1LIFAAokN7Hqhs9TrWwr/NPx+p4wi/z4oCNRJI+PM/85RbsercWI708KK4Ft4RVduRC1RradvRWRF3rIXnx9PJqUfXsv2vFwcCBQCAIYFAAQCgIRAoAAA0BAIFAICGQKAAANAQCBQAABoCgQIAQEMg0J7Z0ilq2sw1ugnLlKsAACAASURBVOn9jE1V6y0gRVu6131AOkFwYpehm2AlJ9xdwO7ODgQPBNovYoaz/vyvzYW9yqPTgBS6lq4bgToCvjdWrHQcrOSEuwvY3dmB8IFA+2VBl+ludHvRh3Pf09W63dyBdkDGMulKoHZA9iYausm/1BxnV3LCnQXs8OxA+ECgvSKeQqM/slC+zXDp8QkHlQH55q4EageUjxfzsXBuZ7CyE+4sYIdnB0YABNor9vuxXE877DSgCPqmoz5QO6B6tJqHx9fuDFZywt0F7PDswAiAQHtloR4BazzBsM+AfOu0q0Ekd0Cxy7diHMEq4ncTMN8FgR4gEGifOF4wSD/R98Mcv61I5zNgJh9p24lA3QEZ/lvVjmAV8bsJKOmozwAEDgTaJ26B3vFh3C4qMM47nt3r/QvUfydvSALtpgsbhA4E2ifaDSgb7vSBr+cr+pjsLmowjoCisdm9QAtdE6n/E3QEK4/fUUBBB2cHxgAE2ieOGkwqq56LLqowrirTUrwOod8aaDqbeB8sC6cG2sXZgTEAgfaBeK/AjbMJ38UdvzugZ8FUBGQsu6ihBSPQTs4OjAEItA+kXhyjuKox6LXNWRFwmSj6CUjppoMilFH4js4OjAAItFfk/EF9Hqi4+dJOZrbbAbsRaEVAco4L7ZVlHQdzxe80YHdnB0YABNorjnUysu+zm3mEpQtzupoH6gq46GrZaAArkTo8OzACINBe4QvfjbXU9OXW912NwrsCyrDd3PaOgMvODOMIVnrCXQXs7uzACIBA+2WjPc1HDOdYL7fuOiCjs8fZWQG1d5R775Z0nN2m06cx9Xp2IHwg0J7hb7Jm7pI+42+x7up5ko6A/HNXFadiwDTpUDHOn1Nt6oBezw4EDwQKAAANgUABAKAhECgAADQEAgUAgIZAoAAA0BAIFAAAGgKBAgBAQyBQAABoCAQKAAANgUABAKAhECgAADQEAgUAgIZAoAAA0BAIFAAAGgKBAgBAQyBQAPpEPIFZPjyUP09019sIaCLXI6LLtoO+gEAB6BMhUPk46wUEOmogUAD6RAhUKNP8VpkIAg0RCBSAPpEvUeLvYF3PINBRA4EC0CdSoLwNv0wg0FEDgQLQJ0ygr2bcmdvbZPKTJtAn+n7BydkndfTTa/oOu3tNlOwVhEfnX1RmEOiQQKAA9AkT6N+R/9DXWJMW/PN/UALdXMoXfMohpveigvr3SpS/z8SmX2RmEOiQQKAA9AkT6HzBJzKl5I+lFKj2ivnkmFlxmWgwUWpvUb7JINDhgUBBFfpNXd5Xt304lwfvfTuLtAcD+0VvlvyXIh6dp/J3pTOaJm+z7PFSzBNlI0wn99n2vRQoTUwPeZjl3yHQIYFAQRV1BLolt/NUHrzn7azSHgxcoNSNN+zzjRRoKmuZ4hBeAeWN+YXYtxQ1T3bwHAIdHggUVFFHoKlcWNPgdlZpDwZuR/rfOesC/SwFulBzm5gnp3wL06WU6/ZWd+wUAh0eCBRUsZdAG3CoAqUqPFkt6X+EQOkW+fPS+unJStsiRGn+bZDKKQQ6NBAoqKLOHQqB7oNonxN3Tv50S+ucQqD6L80/a1ucAhUbINAhgUBBFc47dHP3gty/R3y6ohopnquDU1bHeiAHHdHJNuzDtUi7/fiSHnz6dmWmzQozHKOFjQO9Y78Rn8wEgY4ZCBRU4bpD88k151mpQK/EnMYpbYgmqp4pli6K0RFDoOYMx2gRAhUuJD8X/Un2aMIbfxsQ6NBAoKAKxx2qTUWk4isRqI2ctyiZmgItzHCMFiFQ8e8K+WdECLTuIJLRDQ2BDg0ECqooDCLR23nBpyJuPyTa5G5jFJ65kByzudU/0EPYxJz7bLsQVVAzrT7DMVqEQMU/HtNMCbRiGhOzrZzGNC9kFvWvFTwQKKjCFigfP87oh9P/wyYpugV6kxU+sERP//tvaQ1qPSvKtzjDMVqkQFP5g0qBMksaE+nZj0/+veH/ENHfi/WA/LjKvt0dvfmUQaDDA4GCKtwCTSZX+fMu3AJlt7XyJO/UM7M1BGrNcIwWKVD2y9IPUqDZxlrKafSFsJ9HX9yJifQBAIGCKhxNeHkPH12J8XKnQJkulTdNgT79+qLY/LdmOEaL/JHYP0T0RKVR9YeJnIkfQP7W5wspytyg8wwCHR4IFFThuEPlsLq6z50CZRscAmUPbMtrVG6BxuwE9YsutVMvfZzd5i6hc74yJVA+2St5yf/1gkCHBgIFVbju0O3HWeKSYA2BbqkPktPf/rPYhD8cgYKogEBBFSVVnG8fX+dt+j0ESmtdP64cfaCoSoFRAoGCKirExnrsaEdcfYGq3KxReGuGIwBjAAIFVTgE+u3Pr09U32dDgS6t5n9xhiMAYwACBVUURuGJ7NhUxPOVmHWTT/Lcfqkn0GS62rJVm0qgLG1xhiMAYwACBVXYAmULDI35RmJ9+7RGH6iedvJOT1uc4QjAGIBAQRUOgco3nUl/ynlNdQQqszv+KGqvKm1xhiMAYwACBVW4BJpt2ET4yelbcdD2PX0O3VWdeaD80OtVYcMVy1af4QjAGIBAAQCgIRAoAAA0BAIFAICGQKAAANAQCBQAABoCgQIAQEMgUAAAaAgECgAADYFAAQCgIRAoAAA0BAIFAICGQKAAANAQCBQAABoCgQIAQEMgUAAAaAgECgAADYFAAQCgIRAoAAA0BAIFAICGQKAAANAQCBQAABoCgQIAQEMgUAAAaAgECgAADYFAAQCgIRAoAAA0BAIFAICGQKAAANAQCBQAABoCgQIAQEMgUAAAaAgECgAADYFAAQCgIRAoAAA0BAIFAICGQKDB8de/IkY4IXqJAUYLBBocsVgBAgXxA4EGRyxWgEBB/ECgwRGLFWIRaJe3yA+EDrMHnQOBBkckcoNAd/KDpGkGT3ezJJmc3fss1E62H8/Jf5fJfN+Ev5PCikTfL55/zsyP248vkiQ5feurmD0BgQZHJHKDQHfxww/tDLq9TQRnK89FqyJNplkTgaa0pKUCXc/EuRx/LssgSCDQ4IhEbhCoyQ9OyvbUyPD7ZTK5+pJl3z7OkpMeDcoFuj/LZKpKaQmU/GNwQivSj5cNcx8KCDQ4IpFbNAL1FKNCk80EulDa3PRqneYCzeuslkBTeTLfLybv2pawTyDQ4BiTFQaOMabTqLJkE4GuZ8pB5PPknTAP19R6drJaJDcPL0jzPu8hJVvWtNrKVbWhHainbG+azB9myfE7VgNMjq6z4gF5St5vMJU63NwlMoQdT9/NGvBKvZZAl2rXYv/O1SGBQINjTFYYOMaYTsO3QI1OSGodIjD2ifdQTsmnl0xauWcXyZuZ0pjodJzQRGnyinwjdcAl74ecFw/IU5oCTY1jivH03TsEmurJxgQEGhxjssLAMcZ0GpWS3F+gRGQ3+TfaAk6p0r5fMBNRmS4S2ulIapbqOLLl5F5sIQeek/rkh4Tri7egiTN/JEnYNuMAPaU2iESOP/uSbd8ntPJrxzN2VzfhSTTWoTs6INDgGJMVBo4x7kGkqp07szP7Cml7fj2b0g8vyXYmJdFHqjWJF7yat+R1TV4bZFpLueLkRlaXNQ7QU2oClcewaq8dz9hdLVDaj0tnMf02NolCoMERidwgUBPvAtXbvFSg21uyZUna2jesC1RoS+tdlG6jSbe3wr/sUDGEo9dqzQO0lJpA1fEsvRXP3L1DoNn28bL/KVntgUCDIxK5QaAmnddAswXZsnj+bxdzWWtkwjIEyoRG3ZjPIU2YE5lA9TzNA7SUmkDV8aLGW4hn7t4lUMoTnUw/rs5QCDQ4IpEbBGpiC7TVIJLdB0r+c/P94uS/bqe89lgp0O8XpkDZMbrLzAPKBCqOLxOovruOQAmbC4zCg1ZEIrdoBBroPFBrFJ5UQ+fkf9ni5D8v+MBPpUD1CqwSaL7RPMB/DVTlzirP2ve011UBrYFAg2NMVhg4xphOwyXQNiuRivNAqd5OHojo0uf/zBzmEuhcpixWYNkxZh+ofoCWsqIPtBCvog9Uy53tLH4fDxBocIzJCgPHGPdp7OVLm0VyLOasy5VIi+d/JCJd/+1PYkaoLVDmJrZlKTyV5gPr6lj7AD1l+Sh8MV75KLzKnapzzr7Lfw4W41rLCYEGx7it0GuMkZ9GK39S9ai18PwJHHw6J51SSdvDLoHmMzXJUXTxuT61U84DfbQP0FNq9Uk+0fPbXeLuczV2mwIlu44/kT+fLrk5aaGvV2zpEpZyglaM3Ap9xhjTIJKTxvakbO8KT2MiVpry53JoEzINgf6cLzQSq4QS+mw6tbxdrESaFg/QU67ZoiXXSqRiPGN34flNMnfpSz4PVB08GiDQ4IhEbhBo9xSeByqaw8JkzkEkUok0l7qz52/mzwex18K/tVL+PlMCNdfCWwLVdxcfgMef/3l0JTs8t4+v2feRzaQP+Oo4VCKRGwQaHIukae2uecrYiefqiIZI5AaBBgcE6p94ro5oiERu0Qg0npfKQaD+gUCDIxYrQKChAYH6BwINjlisAIGGBgTqHwg0OGKxAgQK4gcCDY5YrBCLQHGLgHJwdQRHJHKDQMEBgKsjOCKRGwQKDgBcHcERidwgUHAA4OoIjkjkFo1AMYgEyoFAgyMWK0CgIH4g0OCIxQoQKIgfCDQ4YrECBAriBwINjlisEItAcYuAcnB1BEckcoNAwQGAqyM4IpEbBAoOAFwdwRGJ3CBQcADg6giOSOQWjUAxiATKgUCDIxYrQKAgfiDQ4IjFChAoiB8INDhisQIECuIHAg2OWKwQi0Bxi4BycHUERyRyg0DBAYCrIzgikRsECg4AXB3BEYncIFBwAODqCI5I5BaNQDGIBMqBQIMjFitAoCB+INDgiMUKECiIHwg0OGKxAgQK4gcCDY5YrBCLQHGLgHJwdQRHJHKDQKv5H4NuYoDOgUCDIxK5QaCV/M//eDDo090sSSZn9/zb9uM5+e8imddOv55N3jUKXAYvwnKPIgh+JyciEn2/eP45Mz9uP75IkuT0ra9iegQCDY5I5AaBVuJBoNvbRHC2ot/TZJoNLFBehP0FmtKzKBXoeibO8/hzWQaDAYEGx9jl9gOl4xiCMf1URWPqzqzaV8r3y2Ry9SXLvn2cJSfUoMEIdH+WyXQlP1sCJf9QnNBK9uNlw9y7BAINjjFZweYHBQRq4F2gC65NwoabZX+Baq7yQ3OB5oW2BJrKE/1+4dn3HoBAg2NMVijyg0E3MTTG9FP5Fuh6lsuP1iR5g35KBbq+lK36bEN7SU9ZJ2mazB9myfG7bPOaHPjyOqN1O+lgkuxmTau05cloDTA5us6KB+QpZRGEDjd3tHdBHvPwQn7JZBZyN2vAK/VaAl2qXfv849ATEGhwjMkKBTRv9mLQMf1UvgVqdDQSs+QCfcW6DJkaRe/h5CajmqI7TlayR5FVV6d5Dm9mSmOuZCRgonoq9QPylKZAU+OYl+yLVuHVdu8QaJp4rif7BAINjjFZoYAuzWgE6ukW8SxQIqub/Btr5comPO0xJJXGGyqg5JxUDD8k3ENMqiThj+SPx0L3565k1Jkk3QPbZhygp9QGkcjxZ1+y7fuExiHHTFfiGI6xu7oJT6Kxzt4ggUCDo1Mr/NA1PYb64ZAFavYHsva8FCjzHWvtysYv81PKXVXSkbjg1bwlr2vayeTGBXWgcYCeUhOoPGZB/9QLlWVadnx3tUBpHy+dxfRbiBKFQINj1ALtM9aBC1Rv1xoCZWZasia1cOV6xuTGJEZqoMef7PyE22i2ZclU7dE8QEupCVQdz9JrhZJZ6Lt3CDTbPl5q07WCAgINDgi0drCDFmhpDZS5aKn6JGXnoxzMZn2Zx78VXLTgQqNudCbT45kHaCk1garjmQS1QhWKL8eJKgVKeaKT6cPrDIVAg2N/K3RuqtqMo1wd/3W46a8PVLnq+4VpQmEvOh5OODcUqmnQmUx3mXlAmUDF8WUC1XfXEShhc4FReLATCNQ/vf51uPEsUGsUPnMJVK+lanM0t39+na/8kTloAnUk0zeaB/ivgarcWcVa+65mhIYDBBocEKh/ev3rcONboMV5oA6BFmup+iT37QdTRgs5P4n2gTqSmX2g+gFayoo+0IJAK/pAtdzZzuL3sIBAgwMC9U+vfx212N+YRRbJsZiX7lqJxFy1FMLRWvhKvGwASM+NfS1NJuVnH6CnLB+FLwi0YhRe5U7VOWff5T8Vi/DWckKgwTHmQaReg41rEKlAe4ESvai18OwpG7x+prvq+wVbRa7P0ZQryze3poz0mZquZGIe6KN9gJ5Sq0/yiZ7f7sQ80KJAjd2mQMkuNk/g6ZKbk84DvV6xpUtYygl2MmaBYhS+Nm39SVR4Zz6Nac1WDBmuEst9EvqQOc2EjkcbLZKf84VGrmRyJdK0eICekhfBtRKpKFBjd+H5TTJ36Us+D1QdHBQQaHCMWqCYSN8n5vNA6UM1CwIVa9bZgzSVCdm2oyuzN5GuVp8VlrqbyRxr4d9aKVkRXGvhLYHqu4sPwOPP/8yLuH18zb4HOJM+4KvjUBm3QI2lnEYlq4NQhy5QjyySprW75ilj4DCujlEx8rXw+sNE2jdTqxnxTxUaEGgzINDgGLMVzBpi63GSXYz5pwoMCLQZEGhwjNsKmj6N7RBo2ECgzYBAg6M/K9jzt32gKp9GxG5iCbr/qaIHAm0GBBocYxeoW2v9RfL9U+EWAeXg6ggOCLRdJN8/FW4RUA6ujuBoK9BOVbUPIZaqwV8HbhFQDq6O4IBAO6TBXwduEVAOro7ggEA7pP+/DhA1EGhwjEegz6p3D1SqSvr/6wBRA4EGx1gGkZ4R6suqXawddP9TAeAEAg2OkQj02bNdBjUitoq1i+5/KgCcQKDBMQ6BPnu206BGxDaxdtLpT4VbBJSDqyM4RiFQ6s4sqzaoEbFFrN10+lPhFgHl4OoIjjEs8Ob+zP+0cQi0XUgXeJwdGBhcHcExAoHm3iw1aC/1RAgUDAyujuAIX6C6NcsMGo9AMYgEyoFAg8PrHfusI3ZHsPzZOEJPP9WAMcBogUCDYwwC7TlELz/VgDHAaIFAg2MEAu0/Rg8/1YAxwGipEOhCvjR1cvp25TxiPdv9LFV5zPafPtdMoWiQhKa6pa+mFon3jNUMWc75ziNrUe+O7cZazdxWI8nXnoriHwwigQrqCJS+Q9r5Qvs9BPowe76vDRskoSz0eHvGaoRM6+vJ3MELtEFhvn7tyKBefvFKIFBQQaVAxUucvz3M5CvuTfZw2zLZ21ANkmTqNdZ7Jm4Wy0z7/aJ5HjoRCvTr164M6uMHrwYCBRXUESh1g1MwAQp0e8tVP4BAyQcvjfjgBbp/Ex4CBZFST6BUlQ45BChQUQEdRKCeqqDxDSJ9/drAoL3/VAPGAKOlpkDJlxM+kPT0OkmS07fssxKovpHUAj++IN/u1zNaGWTHpLwn9UakIBXam81dkkyuVhn785zn/e3jSzpmdXafZcUkhMdC5A39zo7N2d6yg7XEz//9vejCNQvpjFVWMOus89gqLfuRfFRBRyDQ/aYxUXlmexu0959qwBhgtNQVaCp6Qd+LUSWmU+k2YyOVGONNlUDfzNiW6XqWp0xncszqxhboVgY5F5F/5kebnbNrPqCjC/SP5APdaBbSHaukYNZZa7F1gaYt6rE5YxBojYn0OdSfWQaBggipK1ChsWWS/LjKtr/P2D7nRpJu8ssqe5hxwahjtCF14qnk+J6blv65SMTWE1Kn25KU7FgjCZ0TQNRJNSoiJ8efsu2HRC8kTTOVH2RiUrbtvxYLWRLLXTD7rI3YefOfVmBb/W0wRiHQZ/UDfFUC3cugvf9UA8YAo6WuQIkb5swd1+xrqsnRuZH9WSFQ+Y1VIHnm2mAM22okUZ2wS5mrnDukV/qI+UQjOk/M65CFQpbEchfMPkEjdi7QPHwbRmCFXHAVqpMxuD/zPz0y/oeJ9DEMBjpkP4EuZU8o38ndVtiovi6qBDoVmbI/iXj0emTqEKg2UiOcNhfH6gLNq4B5Yuldo5AlsdwFs8/aiK0NQKme4jaMQKA1HmenYnzVBOrboKMXaN2qNgiVvQSq1bCYVJjbChtzGaZVAp2rTDNDoNunf/kpsQWqHbFQkfMgEj5ulRXjZVbJS2I5C+Y8ay22JtDl6AT6tSH8zpct9B20jLUHXfxUHQq0fmcFCJS9BEq7CBXEGkwlhY3SPdJmJQK9UZlmuUDZOLsaGSoItFJigvxbQaDFkpfEchbMedZaNEOgHkaRRiFQ1Z25h9Yax6pPFz9VdwLdp7vXQl2WL6++eCuRr8UgbrYfzwufd8xb0YojP7IpPvlkmo0xtWYA9hpE6ligbO3o5NXbB1ugea58c2uBumNBoPXZ2599GLTLn8o7eS2+SWrtspxc+ypStwJNNaOk4pbfU6BrOXvmmO1Yim/n5Xl0zF7TmDSNMYpuozQXKPkxzj6pWN5roEbJS2KVCdQ+azttlgUj0O5FRdnbn30VrB79/XVwSqcaNJyDoOTydJd4egpD+AIlNySdPZM9XsoJMWJqjq8fYG/2mkhfGOyxuicpNftAbU/lCR2j8B76QN2FtEbhqwqmnbUWO7w+0J4UVM+fECinXJMtBerp3+1iph3QXqCpvMG+X9B7TyrKy33XjPpLOflkTOP35VsLGxe1RuErKnrkW51ReJdAXaPwN6IwhdF6Zyx31dh51plLoIGMwg/tJoNQS9bfXwenwpJtBSrW37HFc8bavEVys75k6+r47hldIZhlhWO1o0SmxpGUNJk/zNiCPn0X64B8eb0jEqktJkfXcoHNVJaYfSYCJcmSM0eywjnyj0utHjVX5y3XzwxB7YeJyEU46gdQ05icG3fNA62o6KWOQSTHPFCXQF3zQOVPrBeyLJZboCUnaAs0lHmgQ7vJINSS1f7r8DSIVCXJlgIVXhGr6yZ5c3YhFtaxy3et79aP1Y7ima6tjNLk1SwRTT+1S/ZHTisjiW7KeYlAX7FjpV0KYR01UKcp07BroP/xUT3ObsH/1Xq61DVmbqQ1T/LvzaO5EknIpqoPdMHX+7Blk1YSeyWSS6B5Xd5MbBWyJFb56JZ91ipRXoQAVyLtitG3p/qN5uWn6kqgtXe60QW6nnG3nX2h13R+R5AL9+SeLgrkNx29gT4kQpH5sdpRLFPjSE4qHKfvIjcHuYfIjV7Iw4pEjnpIuP7sJnxJMusc+UdyzMSedFAcpeiTug9UFvVqtSJd/hN0Y22Ua+EnP+u6Yf+6zCsFKocVj/+R1zaNJPZaeKdAVV3eTGwVsiRWiUCdZ61LOuGHB7gWfleMjoUGgSqqFdlWoOSzbN5qLUe1Vo7YT+5e8hUx2rHaUSxT40iOvM30XbwbsmakBX/mhC1Q5uWFXiYtrD0Kv7mk9+Hpb7pENxfmIEWv1BHo0Zk2z4rNnzw6ZyegVKJvVE9jSuW/QOwYuja+WqDEU+SYoys1F19PIoOcsrHzUoGqXpFi4mIh3bHKJqi6z1rG5mmzIJ/GtCtGx0KzjdZzOA8/1UgEqi59rT27kOtC6G5xo9DaqnmsdpR1pMhI5FnM5PhTVjcSz8UWqHicxDRzhXXNA31kCpXdphnvYRuqAd/FS+UWeSt6gJ7dAXtDfHVlxyRQR+i+43n7qVrSbROeuk8ISNuxkHNQJu/kM9ISPllbP1Y7igtQO1JkpASq72K9m8e/rWpF4rmUjMJzgdphHQKlPNEamvxKW/67f63O8C9QMTHImv3TD+rfsQHo9Yn0HmP8oYx2MXrw3BgeGyCxHOlxECmVre/CDkONhtb0YwsCNY5UAeQzIvRdDy9Up9rOSFou2mdNoK6wJQLNWLNdDRcPV2XKuhAoqVHTHtPNnfs9Sl2TDtYf0u87kfzFKPVnS4NCoAa2JL1NYxICqqyBGlXByhqocaRACbSwa/vn13wAYGckLRftsyFQO6y2jTXvtO9pPltysAEkSgcLfeXyKn8LzPbC18sx92bpKXAsAv1r9w3tkQvU10R61nVf0QdqdJFSnH2gvB+gcKQgVU8ns3ZtPxTycEfSctE+m014O+98WypW8hjf+TkOtgqJ0sWTEth82KPCyzZ6Q7wXvnfWM09VX/cdW6E5D/Qd0M8vNe7H2UlP1vOlhSbQ90wmzlF4di8s9YcypvpAuRiFV0eJUXjtSE7+qrF8l+zyZ4M+uyKxPyoF6gqbt8/FFOt8zvVisJamCV45GBxDCNQ2Ws/hfP5UfunuaUzcnA39mQ9LP71W0+nOvmTf7sx5oNNVPs2SLiN/kOtS8mO1o+Q80PxIjlSfvkusS9/ISdylkX5c0VnhN6Ya+WddoI6wrD+QjvQ/XaqVLpPr1XAdhDYQaHAMItCi0vqN5ven8kvwj7NTa3dcK5F+Zpvm2m4+Zm2uRFJHifU++pE8a/WAC22XXIl0/LkqkujRE8tflEL5Z12gjrDau8uEL/k8UO0s/SxeaQ4EOigde2oPxlIwg5ELtNUDlbXngcpqnWstPKnQHV3L3bP82ZnmWnh5lLEWXpv9nTe+9V28r+5qVR1JroUn/D7L66DssyFQO2wmn/95pM5xy6dkq+VIEOhBM7SdNEZRrgJjGkRy0tyftag3wOJjGGbgoZzhgEAHZWg7aYyiXAVGL1Ci0C4zh0A7BwIdlKHtpBN+sSwiEGinQKCdA4EGxzCDSP0KtNOfyi8QqL9IEQKBBsdQAv1Dj7E6/an80u174bsFAu2cEV8dsTKYQP/QX6hOfyq/jFmgoHNwdQTHYAL9b4vOQnX6U/kFAgUV4OoIjoE69lwC9R3DNxAoGBhcHcEx1MgIBDpYDDBaINDggEBDCgGBgiog0OBw3bG22yLC70/lGwgUVACBBgcE2uqn8g0ECiqAQIMDAm31U/kGg0igAlwdAzG0tUaL/iNCoGBgcHUMxNAeGi36jwiBgoHB1TEQQ3totOg/IgQKBgZXx0AM7aHRDAjZvAAAIABJREFUov+IGEQCAwOBBgcGkVr9VL6BQEEFEGhwQKCtfirfQKCgAgg0OCDQVj+VbyBQUAEEGhwQaKufyjcYRAIV4OoIjsGqVT7VVhbDLxAoGBhcHcEBgYYUAgIFVeDqCA4INKQQECioAldHcMQyMhKLQDGIBMqBQIMjFitAoCB+INDgiMUKECiIHwg0OGKxAgRah6+d5g66BgINjgis0FeM8Q8iff0Kg44aCDQ4IpEbBFqDr19h0HEDgQZHJHKDQGsAgY4dCDQ4IpEbBLqbr19h0JEDgQZHJHKLRqDdxWDybGrQ7xcJ5+XVl70Tbz+ek/8uknl1hOefCx+3H1+QiKdv68foClaiJT0BR5zNa62UxhfvQKDBMXIr9Blj5KfB1dlWoEkyud43cZpMswYCXc9ExOPPVQn1GF2RC9SOsxSlPLe++AcCDY6RW6HPGGM6ja9Oynbszk/p7ekuSW72LEwzgW5vk5N78u3xso4bexCoOw7R/Pkq275nP4vxpQMg0OAYkxUGjjGm0yj3ZEuB0krW8xo1Qp1mAk2Tk5X4OnlXM0ZXVAh0ITYsaXGNLx0AgQbHmKwwcIwxDSJ1KFBSM2TVqw2piyZn93zj5o60t0/5F9YN+FI19MnxhCkV6PqSpFhZCYoR+MelUpWh3kea+9EVz4XUTpOj6zyGRCvbIrl5eJEXlG8hBZn8kmW/z5Kjt8UEaTJ/mCXH7/RQsgkv4ki3kyLKX4NUPp9/Nr7s/lH3BwINjkjkBoGaVGiyrUCF2VLeQzlhxlhrX2TXpdRZLtBXbA9zj57AiiBroC4JvU+03EWP47woUL1si+Ql+5JntkjesP3zBTvoXSFByspJSqmFKghUlFX5ksXUK50paqCHQiRyg0BNqizZVqDrGbEDMeDZF9rbRwX0/YJ1/X2gliJW+ZHI43GWt7tlE572aZLK3Y2ZwI7AP5JjJtaQf5pMaJXxgYUlZSChHhKu27z+aZSNhJ2uRFgO2XK+IrHpcNjmlqYzEqTC8Xqo4iDSguWm/yiktHk12fjiEwg0OCKRGwRq0q1AmU24sFiv31J1/c1dPZZSOsxLrD2uJ7AjiI+bS1rdO/1Nl6hozfO6n8iF2UwXqFE2PazMg24h0pxnoq5oJEh5pdQIVRSo/l/G5kLvQLjoqkMWAg2OSOQWjUA7G0Sq2rk7v6JAVeuVCmh7K5xJ66Zkz/EnM7EUqGh2TzMjgR1BzQN9ZAqV3aaSb3/59ZIOcxda0MpZRtn0sAJuRiF6Xn49gd78lqGKAuUlXKj4xMZTlcj44hcINDjGZIWBY4zpNLoWqKpn0h28Z1D2NLKOyePfNIUYo/BcoHoCK4Ie7IlOptc6Q3m1NOFW0+q6mkCNsulhBZZAzQRKoEaowjzQhdwo0mkTP40vnoFAg2NMVhg4xphOo9qR7QTKnSO+0w/aLHu6lQ5607nkqzxBQaCFBMUIerCMtYhV85sOPk1O33y6NQSWFQSqlc0pUN6BqQlUTyBzskLpAk3J5zykMWupqylMFAg0OMZkhYFjjOk0diiylUC5ArVKm9Xtuf3zazY4LnAI1J7ZqW1jnaza97xRTaqurHUsOiab1kAtgZo10KkjVEGg3y9OVnkL3phntWO+aysg0OAYkxUGjjHyQaQKdudn1A/1/kejD1Fj+yGviLma8HaCfBsTZvG7iM1VZ5Yhj2HmJPpAdwq02Ac6tULZSzkXkz/dqp9koZ/Owj43b0CgwRGJ3CDQchpbU0MT6Hums8IoPDccFZCcQ66ND1kCNRLIEKrpS3w2z/QVTwslP2m1NNHG8pd87Lx0FH6nQIuj8FMrlC1QOlu0y7VPbiDQ4IhEbhBoBe39mQ+MP73ms3z41Mlvd3IeKF22ziZbiiXsfIIlh2tSN5meQEJyZMP3T5fcnHQe6PWKLRJSTXXerqZzOGlmfB7o44xPY8pVbJStjkCNBEYTXoTSBcrj0G7c7prqZUCgwRGJ3CDQbtGfxiSau/paIvGFDT/LlUjH2rA9nZtumExPIJHbpC/VKPhEb6kzTj6wXJb5qiQew8xJrETaLdDCSqSpFSoXqIxD/Kq0zlr5meuLbwK9Og6ZSOQWjUADfSun9jxQaSnHWvi3+ecjdVzG1pwXBGokkPDnf+Ypt2Ixuj6TXqx+FxVBuRZexpBHGWvhawjUXAs/tULlAlVxtMF2CPSAicUKECjoleUALXgINDxisQIECvpELabqFQg0OGKxAgQK+uSh0+ePlgGBBkcsVohFoLhFxsAiSYaogEKg4RGJ3CBQ0CMfGrwZyge4OoIjErlBoOAAwNURHJHIDQIFBwCujuCIRG7RCBSDSKAcCDQ4YrECBAriBwINjlisAIGC+IFAgyMWK0CgIH4g0OCIxQqxCBS3CCgHV0dwRCI3CBQcALg6giMSuUGg4ADA1REckcgNAgUHAK6O4IhEbtEIFINIoBwINDhisQIECuIHAg2OWKwAgYL4gUCDIxYrQKAgfiDQ4IjFCrEIFLcIKAdXR3BEIjcIFBwAuDqCIxK5QaDgAMDVERyRyA0CBQcAro7giERu0QgUg0igHAg0OGKxAgQK4gcCDY5YrACBgviBQIMjFitAoCB+INDgiMUKsQgUtwgoB1dHcEQiNwgUHAC4OoIjErlBoOAAwNURHJHIDQIFBwCuDgAAaAgECkDv/MHFfll8v0g4L6++7B1/+/Gc/HeRzKsjPP9c+Lj9+IJEPH1bP0ZjllWFK+7Uiupk87p2sfcEAgWgb5z+3NOgSqBJMrnetwBpMs0aCHQ9ExGPK3Wlx2iMT4EuRbFbGd0NBApAH5RIs7FLlTOe7pLkZs/CNBPo9jY5uSffHi/ruLGlQPeiWqDE++erbPt+/99pNxAoAH2wQ5HNBUorWNUNWJtmAk2Tk5X4OnlXM0Y/VAt0IUqylOX3CAQKQB9UVzJb1EBZzZBVrTakLpqc3fONmzvS3j7lX1gX4EvV0CfHE6ZUoOtLkmJlJShG4B+XSomGeh9p7kdXPBdSO02OrvMYEq1si+Tm4UVeUL6FFGTCskiT+cMsOX7HWunmoTJv0YTXUomius9Z/jykJrrvPzS7gUAB6INKgbZpwmfSbCnvoZwwW6y1L7LrUuosF+grtofVy/QEVgRZA3UJ6H2i5S56G+dFgeplWyQv2Zc8s0XyZiYPT1mhTlbCkdqhKm8lUJWKl6/qnFkhUAMFYKRU9nO2FOh6RsxAlHH2hfb00eb19wvW7feBqoe47EcijsdZ3u6WTXjap0nqezdmAjsC/0iOmVhD/mkyoaPbDywsKQMJ9ZBw3ebyMspGwk5XIixHL0gqhC4cmR+q5y13ylSsfDvOme6v7LJoBAQKQB/YAv1Dxb7d+ZkCJZ9lA5v1+C1Vt9/c1WMpBcpUxdrjegI7gmwiX9JK3elvukRFa563k0UuC27CXKBG2fSwMg9RxSQ70oSXVjjSKuGCx5kbqVj5dpzz5qKLTlkIFIA+6FqgqqePNlS3t8IftG5K9hx/MhNLgYpm9zQzEtgR1DzQR6ZQ2W0q+faXXy/pELcqQx6DYZRNDysQLmVRZDtbOFIroZa32KlS0f/vOGdSgZ16b8BDoAD0g0OgfyjftTu/okBVnYvLRE0SZVUzOnXzN00fxii80JOWwIqgB3uik+m1zlBeLU0S1pLW6n2aQI2y6WEFC+5GpsCCQNWhRt5yEEmm2n3OtH2/+0fdHwgUgD7oUqCpbMXKHdose7qVjmTTeeSrPEFBoIUExQiFaUIbrTeRjtZMTt98upVdkWYMM3ktgWp9CUYJtbxdAq0+5y6mMFEgUAD6wCXQP5Tu2Z1fcRTeqOVZXYDbP78WA9gMh0DtmZ3aNtbJqn3Px7NJvY+1jLe33mqgZQLdUQOtPucdc14bA4EC0AcdCpTUvW6yQh+ovehm+yGvhLma8HaCfBsTZvG7iM21ZZYhj2HmJPpAbYGyLUzTZQIt7QPl/RdaJ7DznBcdrEKiQKAADIMQZT1fWmgCfc8sURiF5+KgxpLzx7XxIUugRgIZQjV7iZv47EsZcqHkJwWaJtpIOfujYhTeFqiYuaQlKwrUyFsfolft+x3n3A0QKAADwczZ0J/5wPjTaz7xh8+1/HYn54HSZetskqRYwr651ea1M9foetITSEiObCj76ZKbk84DvV6xVUWqtcyb8KSmxwTK52o+igmdubuMsrkEmk/3LBWonndxkqicB1p1zt0AgQIwEMydDf1pPI1JtI/1tUTiCxt6lqtyjrVhezpd3TCZnkAit0lfqgH3id5SZ5x8YLks8/U/PIaZk1iJZAv0Z7XIqFSget5ip0olVkqVnzPrYegCCBSAoajd4elAex6otJRjLfzb/PPRldaY/X1WFKiRQMKf/5mn3Ip17/pMerFCXVQ48/XqPIY8ylgL7xhEIvVGnqxcoI618DKVsRbedc4QKADx0dyfUdFshKercaG9gEABGAwIlAGBAgAaAH9SIFAAQBPgzwwCBQCAxkCgAABweECgAADQEAg0GLZ04pr2ohiB18Vojhh0ct3kyuN6N1eM1ySGfWo+Q2R0rp+vVSeO/Ev+dsCBA4GGgpgYXXzrDF2T5s1ujhjL4iKVDmK8N5azdBKCsvC1bM+Rf0lIcOhAoKGwoIt3N5Yul4lHgdox1rPJNVui523JsB0jTViMW2/6cf5U20Xi6yQc+Zf87YBDBwINBPH4mOJDDY0FxR3E0B8k1lEM+Zgxb6vpnD8Ve9eEH4E68i/52wEHDwQaCI6XemVMPm/89YG6Y1AKTxz3GkPl7euZtq7TIBX18wdPAnXkX/7LgcMGAg2EhXrk7NTYOvU4iOSOQfEXpDyGN4G6QiyP37pC+sq/4qzAQQOBhoHrrYjy0bC+3OaOQTGeAtlRDG/t39IQnuzmyL/irMBhA4GGgfMWZcrpXqCLJJm8dSfxFiMzHl/WTQgIFPQOBBoG2i2a90Yu+EO+OxCo3uO5/X9fzpLJL53GyNhYvJ8BmNIQ/gUq8y8/K3DgQKBh4Krj8He89NGEFy9K6DJGOpt03UuAGijoHQh0WMQLEW4ct+h6Jl510/aerYihHdMuyq4Yy/b1z52nAYGC3oFAh0VawTHOu1TvvGk5A70ihqKtGXbEeO+h/b7zNDAKD3oHAg0EOcMwn2noTaAVMdS7tL1VrewYbJGQv6Wi7hAUX3Zz5F8WEhw6EGgglK518dhqdK5Emhp/dhFDvsDbF2U/lS+BYiUSqA0EGgikLnjsXG3tUaCOGOtZcr7Ktj6a2KUxlp5XkJf9VL4E6si/9G8HHDgQaChstOf9iPEjhs9xC0eM1HrRt+8Y2gvMPdVyS34qbx2Ujvw3eBoTcAGBBgN/czaTZVcCdcXYeH5WpxUjTXwLtOSn8jfC4/qZ8k0AKCBQAABoCAQKAAANgUABAKAhECgAADQEAgUAgIZAoAAA0BAIFAAAGgKBAgBAQyBQAAbgv032z6Ds2c7bj+fZzvdPaS8RlB+3H18kSXLq5dUE1pIG46WFv88ST89ksd+FyM9+1zNf6OIRT6cKgQIwAJ0JlMtrb4HS92czfDw3q1KgbGVaVwLlkXcIVD7n7NxDESBQAPrgv/did35+Bbq9TU7oct7HSx/rYSsFukymvlbElgm0GvUAHR9vYYBAAeiDsAWq3kjg5Yl9OwTq7ZmqzQQqH93o5SlhECgAfdCRQFl33struZXUJNlDW4hA15fq6SebO9JAP9UeGGMJNH9lqqHeR5r70VXumUVyQ/KlryD8fZYcvRW50+esiNwfZsnkWmgsD5vHS9VTZbRkaTIn6Y6VubXy2gFFAWmJRbaqlPLshaO1CCSbhxf8i/YQcQ8P14JAAeiDbgQquy6l/nKBvmJ7WB1LHKQ9stBRA3XJ5L31FK1F8oZlNl+wHNkDEfXc2ebkZ5ZCC+sQqJ4sZaVV9UG9vHZAS6B5KU2BpkY2L63nEbZ9DxgDAgWgDzoRKDHGjyv6UtW83S2b8LRP84G9bPX7Bevz+6DZwxIoOWZy9aUQIk0mtMr3kOhvMCB5kaxINZM+X3rKbHf2RT6SO6XbtwtmSD2s3YQvJNNdZpTXDlgUqFFKbRDJiECLtBK/Rx7GQ18CBApAH3QiUEePpRQoMxKTzVL1+Slh2KPwm0taQTv9TZeoUJVq86p8iZtYFY9+kbkvcrltmej0sLZAjWSp8UIEo7x2wKJAjVJqAi0ULP89OJsLL4+PhUAB6IOuaqDHn8ztUqDMDkvWrrXfyeyaB/rIFFp8aPS3v/x6megCnWdqpIn6TNmVfpE+t8JaAjWSmY1ps7xWQEcfqFbKXKBmBO33kD+fn8kAECgAfdCJQPmUxuPfNBUYo/BL1TFo9gA6BEp5opPptW5CXi1NqgSq6sA0H5lXWgxrCdRIVhSoXt4aAtVLmQvUjKAlEhu9zAKFQAHoh24EmtGxZTonXAnIEqj2TqpdAs1Yy1a1culgzuT0zSejCX+TFQQqktMPclw7LYZ1CFRLZk4+MstrBbQEapRSF6geoShQby86hEAB6IOOBEpqbH+ms3iU9RwCtWd2atuKfal5bZB2Za6yYh+oJdCSGqgRdmcN1BCoXt6dAjVLWbcGumOebH0gUAD6oDOBErYf8gqVqwlvrbjRtjEpFb8zpIJIlbBcoBV9oIlz2pS7D1QTqFnenQI1S1neB1oUqKfX0EKgAAzA3sIswgQqLaqND1kCVc1VvadRNWGJZ/iguDTcQslMqinV6re2zypG4fOwO0fh9QFxo7xlAVkMXaC8lOWj8KZAvQGBAjAAfgQqlrDzCZIcrkldGKRuRg8yJkGuZ3z4/umSm5POA71escU7qgHNG8d0DmaVQPl0y288HZtuRFeZF8KWzQMVyUyBGuW1AxJTsimhRhNelpKfvTYPVESAQEFPaH34arGJzfbhXB6893o4kRa0wlyJlD9Dac3W9BjCEEtyjHFnuU3+BauhbG29El81lJx8yLVj+8xcicQfdPRzMaxjLby5Esnwml5eOyAfpX/+z/lEeq2U/OxdK5EMgeq9Eu2AQIFJHYFuSe1gKg/eU6AqLWiFXAtPl43rq9XpmvGCQMXacvP5l/z5n3nKrVhRrs+kp1NDj671tr9DoIW18C+Ka+HfZu6HiRhr4c0rQiuvI+CWJDy+T9U0JqOU7Oxda+EhUNALdQRK/9FvKlCVFoDxA4ECk70E2gAIFEQEBApM6lQqIVAAGBAoMHEKdHPHOszO2Lpr+UYENluZH0yteLOlq2KOfsn48pgj+YzK7Uf2JLHTtyszbSY78M6LTwECYCxAoMDEJVClveQ8KxXolRjHncrFzLyeqV62IyaYaAL9Xeyij8sFYIxAoMDEIdBU6xOdlwrU5iYzu1SnpkBT80gAxgcECkwKg0h8Eh17Zi2brMzcao3CMxeSYza3+ge+KIQ92pc+ZJdPejHS0mwfZg3mkgIQBBAoMLEFSpvkJ/x5Daf/Ryyycwn0Jit8YIme/vff0oH89awo36WseaaJr9fcAtAzECgwcQs0mVxpD+51ClS9Xlx90J8YpnoGZFqaK6940l0YlwejBAIFJo4mvOy4VMtUnAJV7y8zPzCefn1RbP6bcTw9nRGAfoFAgYljEEl7RvhZeROebXAI9OlOjsNXCBSdoGCUQKDAxDWNaftxlrgkWEOgdOEyfVnZfxab8BAoiAAIFJiUrET69vF13qbfQ6C0+U/fvGv1gTZ6kBMAYQGBApMKsbFHnvHXy9YVqMrNGoWn/QIlz8oDYCxAoMDEIdBvf359ovo+Gwp0aTX/l5i9BEYPBApMCqPwRHZsMSZ97ePmwpjkuf1ST6DJdLVlqzaVQFlali1p3X+7O3rzqbJIAIQKBApMbIHSlUjmfCOxvn1aow9UTzt5p6fVVtijKgpGCgQKTBwCzd6b/pTzmuoIVGZ3/FHUXlVa3aDwJxgnECgwcQk027CJ8BP1Vojte/YiiTrzQPmh16vChiuWLZsi+vIKz7MDIwUCBQCAhkCgAADQEAgUAAAaAoECAEBDIFAAAGgIBAoAAA2BQAEAoCEQKAAANAQCBQCAhkCgAADQEAgUAAAaAoECAEBDIFAAAGgIBAoAAA2BQAEAoCEQKAAANAQCBQCAhkCgAADQEAgUAAAaAoECAEBDIFAAAGgIBAoAAA2BQAEAoCEQKAAANAQCBQCAhkCgAADQEAgUAAAaAoECAEBDIFAAAGgIBAoAAA2BQAEAoCEQKAAANAQCBQCAhkCgAADQEAgUAAAaAoHGyl//OnQJiqBEIDog0FgJTw4oEYgOCDRWwpMDSgSiAwKNlfDkEGCJcPmDduAKipUAdRVeiXD5g3bgCoqVAHUVXolw+YN24AqKlQB1FV6JcPmDduAKipUAdYUSgdiAQGMlPDmgRCA6INBYCU8OKBGIDgg0VsKTQ+wl+n6RUKbia8q+Td7tTvT8c/3tICwg0FiJXVc+8DuIJAR6suJfFxDoAQCBxkqAugqvRF0IVCjT/FaZCAIdLxBorASoq/BK1IVAkzn7tp5BoAcABBorAeoqvBJ1IlDehl8mEOgBAIHGSoC6irxETKCvZtyZ29tk8pMm0Kc7UiOdnH1SRz+9JnvP7jVRbughR+dfVGYQaPhAoLESu6580IFA/4785yZjLfjn/6AEurlMEr16mmXvRQX175Uof5+JTb/IzCDQ8IFAYyV2XfmgA4HOF3wiU0r+WEqBysY95ZhZcZloMFGm+febDAIdCxBorMSuKx90INCbJRcf8eg8lQKlM5omb7Ps8VLME2UjTCf32fa9FChNTA95mOXfIdDwgUBjJXZd+aCDQaQb6sYb9vlGCjSVtUxxCK+A8sb8QuxbiponO3gOgY4FCDRWAtRVeCXqQKD0v3PWBfpZCnSh5jYxT075FqZLKdftre7YKQQ6FiDQWAlQV+GVqAOBUhWerJb0P0KgdIscjKf105OVtkWIUu8lZZVTCHQcQKCxEqCuwitRBwKllczJn25pnVMIVHch/6xtcQpUbIBAwwcCjZUAdRV5idg40DumTT6ZCQKNHwg0VmLXlQ86EahwIbEfba/v0YQ3fAmBjgMINFZi15UPOhEotSPvxxQCrTuIZKz6hEDHAQQaK7HrygedCFRMkp9mSqAV05iYbeU0pnkhMwg0fCDQWIldVz7wP4gkfck0KQXKLGlMpGciPbnPNrdyIj2bWv/jKvt2d/TmUwaBjgUINFYC1FV4JepEoMyO9IMUaLaxlnJqCzeFKPXFnZhIPxog0FgJUFfhlci7QKnzWIWTNtClUfWHiZyJh4lIX54vpCiXuj8h0JEAgcZKgLoKr0SdCFSOFGkCdTzObnNHjjp9mymB8sfZJS+vvhiZgaCBQGMlQF2hRCA2INBYCU8OKBGIDgg0VsKTA0oEogMCjZXw5IASgeiAQGMlPDkEWCJc/qAduIJiJUBdhVciXP6gHbiCYiVAXYVXIlz+oB24gmIlQF2FVyJc/qAduIJiJUBdoUQgNiDQWAlPDigRiA4INFbCkwNKBKIDAo2V8OSAEoHogEBjJTw5BFgiXP6gHbiCYiVAXYVXIlz+oB24gmIlQF2FVyJc/qAduIJiJUBdhVciXP6gHbiCYiVAXaFEIDYg0FgJTw4oEYgOCDRWwpMDSgSiAwKNlfDkgBKB6IBAYyU8OQRYIlz+oB24gmIlQF2FVyJc/qAduIJiJUBdhVciXP6gHbiCYiVAXYVXIlz+oB24gmIlQF2hRCA2INBYCU8OKBGIDgg0VsKTA0oEogMCjZXw5IASgeiAQGMlPDkEWCJc/qAduIJiJUBdhVciXP6gHbiCYiVAXYVXIlz+oB24gmIlQF2FVyJc/qAduIJGwf8TNvVOIkCBBlciMDIg0FEwtCF3UO8kwtNVeCUCIwMCHQVDG3IH9U4iPF2FVyIwMiDQEBhagJ3DzjI8XYVXIjAyINAQGNpvncPOMjxdYRAJtARXUAgM7bfOYWcJgYLowBUUAkP7rXPYWUKgIDpwBY2CoQW4g3onAYGC6MAVNAqGNuQO6p1EgAINrkRgZECgo2BoQ+6g3kmEp6vwSgRGBgQ6CoY25A7qnUR4ugqvRGBkQKCxEp4cUCIQHRBorIQnhwBLhMsftANXUKwEqKvwSoTLH7QDV1CsBKir8ErU3eX/A6GzzEEwQKCxEqCuwitRV5f/D5JGqb9fJJyXV1/Kjtl+PCf/XSTzOhkui4fp6XhOZblaSU02r0kxT9/WKUScQKCx0rGuGughQIF2VKIffmhlUCXQJJlclxyTJtPMj0B5TmW5Vgt0KYp5XnFM3ECgsdKprhoJIlaB/uCkbE+NDL9fPP/MPjzdJcmN+5i9BGpRX6CVrGfJ+Srbvi8tZfxAoLHSoa72NkLnJWpIdwIt31UjQyVQWsVTH02CEOhCJF0mJ6tG5Rg/EGisdKcrTQR7GfSABFqxr0aGmkC3t7xytyF10eTsPss3E6ZUdetLsoPra3M3S5LT+zyjNJk/zJLjd7wdTmuKx/fsc55O5lSWqzj85uGFjJ9nIwtHaqIlmo8fCDRWuhWo6/MuAhSol8u/S4ESgVG5pTPeIypbyrnqXrE9rAK4LhxEBUp3n6yYBXmayU/ciDKdW6B5rkKgL1nWtFh6Nnkc1EBBZLh05WpsNqKDLIeY9NOVQKt21shQF+h6RtxE1Hj2hVb9Ju/kdtnYTk7uM1LLvGFDT7RD8oPW6E+FWpkFl8nkbbYhNcu5mc7VhM/3CoEm05XakGejytuwJyECINBY6VKgXeQJgSpMgZLPS+G4Re46qTomyAUXpOyQnOcHceNq7W3i4rmZziVQPVfzcCMbzuZCy+HQgEBjBQLdzUgEqvoataayVB1TF3Xn9lZUT1mdNTOOpxaUmxfciCqdU6D53mXhcCMbEY9WTw8VCDQmvMmsmkGCdiHYrgaRqnbWyLAo0O8Xwo3aDmO8nAtUTR7VDsoFmuoVVC1d+Si8LlC1IS0QKbskAAAZ90lEQVTWc2nPQd1fKkIg0JjoQWO2A3oKOiaBehxEog5U36sEqs2+LxzUrUAPeAoTBQKNic4l5nJAT0FHJVBv80CFG2vUQNVBGqZA89poK4Fq2WSZ3pY/SCDQmOhYYW4H9BR0XAL1sxKJNZBvsqo+UL0Jby0H0gVa6ANtKlCrD3RxuKuQKBUCXaj1uKdv3ZX09Wz3jyeP2f7T55opFA2S0FS37G+YJ94zVjNkOcP6l7jDQaROMh3vIJJNy7PSBPpeTMYsHYXXVcfVZlnWGIXnU46aC9TIBtQSKOHYah1Q9hDoA1+rsI8NGyShLPR4e8ZqhEwb2D/FGIXfTbBPY+JX1PbpNZ+HxOeBfrsz5oFSTeqqI047uc/EbE15kNZhuaSp1TxQXaB5J6adq9Xi17MB1QIV/zJ9I38ndv9KtpfbStf0ek2SqWtmz8TNYplp9Z6rAMBE+t0E+jxQ/WlMou1uLTJasyVGutnkQdqguCFQcyVSno7nVJarJdDCSiTWx3DA1BEo+5VccghQoHI23AAC3fXoxJ7pVKA/+M8xMoG2QXseqKwbFtbCE36fFQUq1sJrD+c0h8z5InarD5TnVJarJVA9mwwCrSdQY+FBpm8NTaD5JdO/QMOqguJhIrsJr0Td46mnKbAOq8GoKVC5mCvLnrRHUCuBPhnPpd5+fEEfCrOe0cogOybl/6DeiBT0Xy36T+qE/APL/jzneX/7SJ9ZMGH/0BaSEB4LkdnDsI1/lNXDa7TEz//9vejCNQvpjFVWMOus89gqbRbYjA48zm434ZWoO8QTk1yznQbIJhrqClSuqn0vGhfy8S831ka1JOJNlUDf8P6aqXiCDEsp+3AS/ogDU6BbGeRcRP5ZdAsZf4/ir1cX6B/FzGKzkO5YJQWzzlqLrQs0bVGP9Q4eqLyb8ErUHeTanq6y7aLlvHdP2URDXYEKjS2T5Efy8/0+Y/ucG0m6yS/s0S2JEqhq5yqBJsf33LT0z0UittJRxC1JyY41ktA5AeLh1yJycvyJPnrGfI6BnO+hJSZl2/5rsZAlsdwFs8/aiJ03/4PqD8IrPXYTXok65CFx1DgGyyYW6gqUz/si7uDvaEk1OTo3sj8rBCq/sb8Hnrk2GMO2GklUJ+xS5irnDumVPmI+tcBMJub/UhYKWRLLXTD7BI3YuUDz8AEQnhwCLFGYg0gdQfvAJoU+r+GyiYT9BJqve12ICRA31kb1dVEl0KnIlP1JxKPXI1OHQLWRGuG0uThWF2heBcwTS+8ahSyJ5S6YfdZGbG0AKqSGTYC6Cq9EByVQ0AF7CVSrYTGpMLcVNuYyTKsEOleZZoZAt0//8lNiC1Q7YqEi50EkfNwqK8bLrJKXxHIWzHnWWmxNoCE9WGGXrv6nyOAl6h8IFLRkL4FqE3zZwAxTSWFjvsZLG4W3BXqjMs1ygbJxdtXBUhBopcQE+beCQIslL4nlLJjzrLVohkDDGUXaoSvLn90bFAIF0bHXIFLHAmVrRyev3j7YAtWW3i5dEhPUF6g7FgQ6YIkGILwSgZGx1zSm4hMEim6jNBfoMknOPqlY3mugRslLYpUJ1D5rO22WjU2gld87IDxdhVciMDL2mkhfGOyxuicpNftAbU/lCR2j8B76QN2FtEbhqwqmnbUWe4g+UEf9cX86ztEiPF2FVyIwMuov5eSTMY0aFt9a2LioNQpfUdEj3+qMwrsE6hqFvxGFKYzWO2O5q8bOs85cAu1tFN6/7vznaBGersIrERgZtR8mIhfh8G3cLGqKpr1x1zzQiope6hhEcswDdQnUNQ+UH2cWsiyWW6AlJ2gLtL95oP515z9Hi/B0hUEk0JI6Av2Pj+pxdgu+AvzpUteYuZHWPK+z7NFciZSqBxuW9oEu+Hqf93JlpJHEXonkEmjehjYTW4UsiVU+umWftUqUF8HfSiQvOttLd30EhEBBbNR9oLJYeKBWpE/Ey6FvrI1yLfzkZ103bGn5vFKgcrT7+B95bdNIYq+Fdwp0LR+MbCa2ClkSq0SgzrPWJS2eLutvLXwfOoNAIVDQljoCPTrTHjHI5k8enX+hn80HJYmN6mlMXCfyGLo2vlqgxFPkmKMrNRdfTyKDnLKx81KB5i+GKSQuFtIdq2yCqvusZWyeNvP5NKY+dAaBQqCgLf6voEXeih5gTk864FqgdYv3ghToQ2cQaIC9smBk+BeomBhkzf7pB/lE+iHo8Yn0XnzWcY4W4ekqvBKBkeFfoKSFS3tMN3fJICpLh9A2o88H0vvXnf8cLcLTVXglAiOjg06gpRxxufafdw0Ge9fAssfA/nXnP0eL8HQVXonAyOiiF5292+poqCcGivfC98561mPV17/u/OdoEZ6uMIgEWoIrKFawFn43EChoCa6gWMHTmHYDgYKW4AqKFaqrZ+W7IdAMAgWtwRUUK3/96zNC+f7e/RmiQIMrERgZEGisMH9WGbR3wtNVeCUCIwMCjZVnz0IzaHi6Cq9EYGRAoJHC3RmUQcPTVXglAiMDAo0Tac6QDBqerjCIBFqCKyhKcm8GZFAIFEQHrqAAeeaDTjJrBQQKogNXUID4VZ7f3FpwKALte3oYGBAINEA8G89zdo0JUKBdlKj9BFv5voTk5dWXvRNvP55nO5/trT05TH5kj0FPTt9WpCpQ/fjGWuWogf6QM+1Ra6XPDOJx+X9L2Lze80wrgEAHwYPT9hBev9FKgUBrogTa5JFmqXiN154CZS+mYW+5qf1MxmqB1ipHDfYVKD+m6qmW8nFxFYqtDwQ6CD0bredwJcQq0MpFsU10qpzxdJfs/YzEZgLd3iYn9PFpj5f1n6c7UoGSfyrE6yl9PH4SAh2EvoXWdzwnEOi+AtXfmV2XZgJVr8L5flH7OegjFah82/DSy9t/INBB6FZottF6DucmQIF6ufy7FKh8S+KG1EUT+Yhd9sDdU/6F9ee9VA19/krcKRXX+pKkWFkJihH4x6USjqY8IimSyeSXLPt9lhzxPkP+esUrmu9SvNCWGbcQolY5hKxlPtRn2nmmyfxhlhz/f7yo5OPk2hTo44tkclXImMf9XyK6EVHk9yf53kk/rzCDQAPEu9L6UmQ1EOj+AhVmS2fae8PX2hfZdSnFkovrFdtzsioksCLIGqjDJovkDUs5Zy/oZbKTL/ieZkJ8xJ83jhD1ysGrkQuR29Q8z5QlPflPVj7+iuCfdYH+nJ94nnFBoGs7P1Xr9PP+SQg0QNoL9Jnn/LycFgTaQKCsYkY8cPaFdttRiX2/YH14H6jyiC9+JBZ4nOXtbtl0pn2aD/It4iqBHYF/JMdMrCF/ksn5iqSjQ1kb9o7INJnQiugDK8gyfxG4I0SdcqRUwWQzV+SNeZ4ptx0rX0qLsF0kukBLMtab8IUdhjHlq8tbAoEGSHvhGcrzm1tzINBGAiWfZQOb1dWWqg9v7uqxlOJismDtcT2BHUF83FzSqtrpb7pEeSbEavNMVNhE+553LJD8yIc5z9oKUacc7DU469lLchKsGMZ5przOy3bwuPqLfhdcw6wj08hYF2hhh/5bbS78vH0SAg0QD8bTnOc1szYEKNDgB5GYQGVHKJOYenE3rZuSPcefzMRSXEwP1CBGAjuCmgf6yBQquyuzTHaHCkmrFu+3v/x6mQiBKqHaIeqUY3vLrPlmdiPPJj9PGZCWT/47sdQFOpelNzPWBFrcoVVAyb8KUy+vToNAo0STnjf/tQYCbShQVc/kulCTRJl96NTN3zQXGKPfXFx6AiuCHuyJTqbPvzoEyiuqiRAo7R+lB7pC1CrHgmS9eP5vF3OzPi2a7ZpAeQp7FJ460szYEKi5IxcobdvX+IuoAQQaJ0qb4fgTAm0iUHrbq+9cJoaHHl6wj+fa2EhBXIUExQh6sIw1bfVR+MwUKB2UmZy++SSa8MmrmWhm1xCo+6Cb7xcn/3U7ZZVF4zylLelnOWDuFqiZsSZQ1w6OnylMFAg0UoQ4A/InBNpEoFw9Ws3M6vbc/vm1rAlSHOKyZ3Zq25ictO9aRc0SKO2EpDtlH+hUNKpdIWqVYz2bk/9lCz7WXqyBKoFW10DNjA2B2jtkah8DSBQINFaYOkPyZ4gC7WgQqYoaGRr1w+QmK/SB2lPItx8Sq+9RbzrbCfJtTJjF7xxLoNJIfOw9H4V3hahZjpMHsjV9/s+iyW30gWoCLesDNbqItbipkZ+2Qz8zH0CgsfJXn+M/XohVoAWaKNNEE+h7prPCKDw3HLWMbNs6Bm/y0XE9gQyh2rBiHD1f8bQo1vIcAk0TPqo+l5k6QtQrx+L5H0mW67/9iYUqjMIrgTpH4U9WzozNUXhrh28g0Fjhb+UMyJ+HItD2j7NTA+NPr/nUGz4/8tudnAdKl62zKZBiCftGMwvXky4uPYGE5MiG758uuTnpPNDrFVsJlDd7S5rwdGaoEigXsCNEvXLwyZk0unWeukDZVCq6fF2fB0qK8pCIeaB5xjxuKuaQGjsgUFAfoquw/HkwAm2N/jQm0abV1/CIL2wcWa5EOtaG7amTdHEZCSRym/SlGl7X1ivZg0gpP+bkA6/48SWYbJa6FaJeOeh0Iv4ok1XxPHWBiicoOVYinbt+EVo1Z2bWd2gCFdP/fRDmFQTaQ3UVlD9DFGhwJWJozwOVbV3HWvi3+ecjdVzG1q0XxGUkkPDnf+Ypt2KVuzaT3hYofVpTcnTNv4gJ8Qtt0bkeolY5RA+CGtQx1sJrAqWzDYpr4dnyePsXYXHFf/UdECjYh/DkgBKB6IBAYyU8OaBEIDog0FgJTw4oEYgOCDRWwpNDgCXC5Q/agSsoVgLUVXglwuUP2oErKFYC1FV4JcLlD9qBKyhWAtRVeCXC5Q/agSsoVgLUFUoEYgMCjZXw5IASgeiAQGMlPDmgRCA6INBYCU8OKBGIDgg0VsKTQ4AlwuUP2oErKFYC1FV4JcLlD9qBKyhWAtRVeCXC5Q/agSsoVgLUVXglwuUP2oErKFYC1BVKBGIDAo2V8OSAEoHogEBjJTw5oEQgOiDQWAlPDigRiA4INFbCk0OAJcLlD9qBKyhWAtRVeCXC5Q/agSsoVgLUVXglwuUP2oErKFYC1FV4JcLlD9qBKyhWAtQVSgRiAwKNlfDkgBKB6IBAYyU8OaBEIDog0FgJTw4oEYgOCDRWwpNDgCXC5Q/agSsoVgLUVXgl6vLyf9Zh3iAUINBYCVBX4ZWou8v/GaGzzEEwQKCxEqCuwitRZ5f/s2cw6EEAgcZKgLo6nBI9ewaDHgYQaKwckK4a01WJuDtbGHT78UWSJKdv2ZdFMt+Z4PvF88/yc5pM83zOd2egpZUfjfgGWuYe2LwuCTMaINBYORxdNaejEklzNjboepZwjqnOWgiUf9xboGZ8A68CXYow5/6y7BsINFYORlct8FOiZw527alke5uc3JM/Hy/r+I/hVaCF+AY+BUo8fb7Ktu+T5MZbnn0DgcZKrLryiZ9BpApLNhNompys2IfvF5N3Awi0EL9QNn8CXYi8ljLeCIFAYyVAXYVXoo4EWm9fKUslKaY+8p/1ZZKcccls7kib9+xe7eWHCwk+zJLJtXIcqUkSplYGpIF+ep+HswRaiC/RM9dKIY+8ITEmv2TZ77Pk6G2xqGkyJ8mP3+nhSfF4zXM9e251FYwFCDRWAtRVeCXqRqC1d5aQJoZQFskr1ifJqmkp756c3GQOgS7Yvp9tgWoZrLUMOI4aqEtoeuaplckiecO2zdlhrOKqH5SyIpAC2OG1Gu8IgUBjJUBdhVeiTgS6z14n3y+SydUX9ZUo6eSe1v9umP7OvtBuQ61trwSakhpitl0kdhM+z4DkTfsdP2iOtARaiC+zyjM3SqEKeb4i2dKjNrfWQanQtyM83ba7jyJUINBYCVBXkZbIu0CzzSWtpZ3+xiW24O5hupSta9Z9WBQo/769tQVqZ7DMpWWPwpvxMxExz9wohdxNYxBpzjNRpTQOSoVrHeE3F15nRvUMBBorserKJx2NwtfeWcr2kSmMd1sKTVH3qG5DpqiCQOWQz9IWqJaBqDSuZ6rZ7JoHqscXe/LMzVJweFnEUXS7eZA40hGeOHc62gY8BBovserKJ11NY6q3bwdPdDI779nUPCkEpNU4NYFy+5WNwgv3SSxrmh/z+Mae1CoFxxKoeZASaDE8bdPX/kkCBAKNlVh15ZPO5oHW2FWHzYUYhadftMF2t0DlYHaVQImv6gpUxf+/7d3ta9tGHMBxmJwHjNeGhCXNm7okwWNjhTosGyRQLYPQ4TeOE/n//1emO51knXSynZ9jS777ft40dfRwNeaLpJNcrbxxexSZsT7etAJaXsiMqb77fb6FSSGgvvI1V+9pa/eBbnQjfenuy/qZ+oZHoI47O8uv6UxW97/Y4XzZEWgtoPYRaL+yq2K9/Z1AUgiorzqYq+6NaGsB/WnpL5Yrrh7WAyq9BlrfwJL9Vf+urb4GWglo9Rpov7Ira739RUB91cFcdW9EW/r4Z6F86wl7IS5Or6uT7fbUdvYXPTG+Yha+vIGseeV7L4vT6HTV8/r+8x9XzMJXAlqdhbcfOtrnWz8tBNRXHcxV90a0rY+/5ILngroP82qin+Sp3O5pbq58GeU3V+qbLvOA6puI1KPlpYCqTpU3kG5bPeee3RRqpOsd3ad/Pn3KylnZf7FQsXFrFJl6QCtD7ef/tNru9xoB9VUHcxXQiDbpZ34fpuOBI/vxnmxO++DvYl4ntp9Eyh47Op64NmDNfeev5UG092+UN+56Eqka0MqTSH17V2b3aVD3u6QE1Fch5UpqiyPapJ/qPkz1RZmH2eNAVv+sp9CT9Oejh9LE+OOH8rPwc/1geiWg5mF0+zs4s+//PBzmp9XW/nPljbuehZ9XAmo/C5+Pyd49AUVHBZUroW2OiK+jDwIB9VVYuZLp3oiwZwior7oXhw6OiI8/NsMnyFcdzFX3RsTHH5vhE+SrDuaqeyPi44/N8AnyVQdz1b0R8fHHZvgEAYAQAQUAIQIKAEIEFACECCgACBFQABAioAAgREABQIiAAoAQAQUAIQIKAEIEFACECCgACBFQABAioAAgREABQIiAAoAQAQUAIQIKAEIEFACECCgACBFQABAioAAgREABQIiAAoAQAfVNMhpE0elD9eXnwfGkjeHMnSP69zKKevVBtjSahrcMWImAeub1IlIOvtsvJzdRWwF1jOhWvxL1vnViNA1vGbAaAfXMODp+mM9quYyj1gJaH9E06l3N1UstNMvx/jS8ZcBqBNQvzwMdpdcL++juedBaQOsjSo+Gr+f6pezPdkfT9JYBayCgfomjvvnzvPRqmqzPbV0DrY/o9cIceY6tQbY0moa3DFgHAfXL2BzUTU0V8lf7rU0iuUdkfrXzZDlGs2SAwAoE1CvJjTkPtXo5TU/f2wqoe0RaCyfNjtEsGSCwCgH1irMGOlQdDGi8+0M+Aor3RUC9UqrBYoZbnyl3IKCVOfdpC7cxOUbTPEBgJQLqFdfhVKzn3zsQUHsA00Fv53PwHIHinRFQL0yzO9OvHTV4HuiXdp2HJSPS4lZuoyegeF8E1At5rhxTynFU2OUp6pIRKbet9JNZeLwzAuqX/GbGxU2NLQV0yYjSo75xdNTO9UbHaFwDBNZDQP3S+FhNayeorhGNW3tskieR8K4IqF+Sm+jI+WB3awF1jChu77Fzx2ga3zJgJQLqmVnpq4XM/JHW3hRJbUTm24+U3V91dLw/M76NCVIE1DezURqDUx3LbgS0NqJp1GJAXe9P6SXgTQgoAAgRUAAQIqAAIERAAUCIgAKAEAEFACECCgBCBBQAhAgoAAgRUAAQIqAAIERAAUCIgAKAEAEFACECCgBCBBQAhAgoAAgRUAAQIqAAIERAAUCIgAKAEAEFACECCgBCBDRorxdR2eK/kbckj2f5wgff37gHsy7gJQIatHUCmjwOon6+8BsDWqwLeImABm2dgE7TX0gDWqwLeImABu1NARUgoPAbAQ3aOgeVBBRoQkCD5gzobPQh7d7h6b36S5wfnZ4XC6sqXieP6UKHX9Il9A9XZt3k7qNa+OTrxF5Xb3aQLnj2Y3f/OmDbCGjQXAEtshedzRsDOvyUvdpPbswPet3nQb748aQS0H/Mr3pfdv6vBLaFgAbNEdBp6ZroeWNA667n9iXVvh3Qqb0k4AUCGrTKJJJK2zg9SPyanov/GZm21mbhdQvTZWY35R/UIqqYxw/zZGwOQe111WYfB4J7SYGuIqBBqwdUnZLr9iU3J3+oPxsCej2v/KBXevr1ZzWR/zyoxjfOjzyn5owe8AEBDZo7oFFveL9YxhlQnceik+oHHdDSZq2Aqq1mB57qV8zLwxcENGiOU/j8wuXh0MyXOwOqc1l00w7o028fqqf/9n7KrQX2GQENmmMSKZ9WT502n8LrFxwBfRrl8/BLAspFUPiCgAbNdRtTcjeIXBFcI6DJSK118vt/1VN4Ago/EdCgNTyJ9HJ3uTinf0NA1en/LxPHNVDRFzkBnUdAg7YkbLNPZr58/YAWW6vNwqvrAg3flQfsMQIaNEdAX/66PC6ufQoDGtdO/2PuXoKPCGjQKrPwaez0w5hnaRVnF9ZNnsmP9QIa9SeJfmqzCKheV282Pbt/GR1+vl86JGCPENCg1QOqnkSy7zcyz7f317gGWl639628bukJew5F4Q8CGjRHQOe3dj/z+5rWCWi+uaM7c/RarFsuKP2ENwho0FwBnc/0jfC9k69moeRWfQ/dcJ37QLNFryaVF4Z6s/oW0Y9Dvs8O/iCgACBEQAFAiIACgBABBQAhAgoAQgQUAIQIKAAIEVAAECKgACBEQAFAiIACgBABBQAhAgoAQgQUAIQIKAAIEVAAECKgACBEQAFAiIACgBABBQAhAgoAQv8DeCqG4naSVMMAAAAASUVORK5CYII=" width="672" /></p>
<pre class="r"><code>##SAVING GRAPH 2</code></pre>
<pre class="r"><code>#############
##MEDIATION##
#############

#1. Military exercise mediation 

#delegitimation -&gt; exercises
mildirectmodel &lt;- lm(formula = exercise ~ treatment + age + male + education + leaning + income + internationalaffairs, data = data)

#statusmodel &lt;- lm(formula = statusscore ~ treatment + age + male + education + leaning + income + internationalaffairs, data = data)

#delegitimation -&gt; status 
med.status &lt;- lm(statusscore ~ treatment + age + male + education + leaning + income + internationalaffairs, data = data)

#status -&gt; exercises 
mil.status &lt;- lm(exercise ~ statusscore + treatment + age + male + education + leaning + income + internationalaffairs, data = data)

#mediation effects 
milmediation &lt;- mediate(med.status, mil.status, treat = &quot;treatment&quot;, mediator = &quot;statusscore&quot;, robustSE = F , boot = TRUE, sims = 2000, conf.level = .95)</code></pre>
<pre><code>## Running nonparametric bootstrap</code></pre>
<pre class="r"><code>#call Figure 3 results
summary(milmediation)</code></pre>
<pre><code>## 
## Causal Mediation Analysis 
## 
## Nonparametric Bootstrap Confidence Intervals with the Percentile Method
## 
##                Estimate 95% CI Lower 95% CI Upper p-value    
## ACME            -0.1841      -0.2584        -0.12  &lt;2e-16 ***
## ADE             -0.0156      -0.1589         0.12    0.80    
## Total Effect    -0.1996      -0.3656        -0.06    0.01 ** 
## Prop. Mediated   0.9220       0.4878         2.69    0.01 ** 
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 
## Sample Size Used: 1646 
## 
## 
## Simulations: 2000</code></pre>
<pre class="r"><code>#2. TPP mediation

#delegitimation -&gt; tpp
tppdirectmodel &lt;- lm(tpp ~ treatment + age + male + education + leaning + income + internationalaffairs, data = data)

#status -&gt; tpp 
tpp.status &lt;- lm(tpp ~ statusscore + treatment + age + male + education + leaning + income + internationalaffairs, data = data)

#note: med.status is the same model for delegitimation -&gt; status; med.status is provided above#

#call mediation on tpp 
tppmediation &lt;- mediate(med.status, tpp.status, treat = &quot;treatment&quot;, mediator = &quot;statusscore&quot;, robustSE = F , boot = TRUE, sims = 2000, conf.level = .95)</code></pre>
<pre><code>## Running nonparametric bootstrap</code></pre>
<pre class="r"><code>##Call Figure 4
summary(tppmediation)</code></pre>
<pre><code>## 
## Causal Mediation Analysis 
## 
## Nonparametric Bootstrap Confidence Intervals with the Percentile Method
## 
##                Estimate 95% CI Lower 95% CI Upper p-value    
## ACME             -0.145       -0.202        -0.09  &lt;2e-16 ***
## ADE               0.022       -0.102         0.14   0.745    
## Total Effect     -0.123       -0.253         0.00   0.055 .  
## Prop. Mediated    1.179       -1.353         6.37   0.055 .  
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 
## Sample Size Used: 1646 
## 
## 
## Simulations: 2000</code></pre>
<pre class="r"><code>#################################
###END OF MAIN MANUSCRIPT CODE###
#################################</code></pre>
<pre class="r"><code>#######################
#######APPENDIX########
#######################


########################
#APPENDIX #1: DESCRIPTIVE STATISTICS#
########################

descriptivestatistics &lt;- stargazer(data)</code></pre>
<pre><code>## 
## % Table created by stargazer v.5.2.3 by Marek Hlavac, Social Policy Institute. E-mail: marek.hlavac at gmail.com
## % Date and time: Tue, Apr 29, 2025 - 9:32:27 AM
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lccccc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
## Statistic &amp; \multicolumn{1}{c}{N} &amp; \multicolumn{1}{c}{Mean} &amp; \multicolumn{1}{c}{St. Dev.} &amp; \multicolumn{1}{c}{Min} &amp; \multicolumn{1}{c}{Max} \\ 
## \hline \\[-1.8ex] 
## X.1 &amp; 1,647 &amp; 824.000 &amp; 475.592 &amp; 1 &amp; 1,647 \\ 
## X &amp; 1,647 &amp; 824.000 &amp; 475.592 &amp; 1 &amp; 1,647 \\ 
## Status &amp; 1,647 &amp; 0.000 &amp; 0.000 &amp; 0 &amp; 0 \\ 
## Progress &amp; 1,647 &amp; 100.000 &amp; 0.000 &amp; 100 &amp; 100 \\ 
## Duration..in.seconds. &amp; 1,647 &amp; 562.828 &amp; 1,098.742 &amp; 92 &amp; 26,105 \\ 
## Finished &amp; 1,647 &amp; 1.000 &amp; 0.000 &amp; 1 &amp; 1 \\ 
## LocationLatitude &amp; 1,647 &amp; 46.480 &amp; 3.212 &amp; 37.751 &amp; 56.248 \\ 
## LocationLongitude &amp; 1,647 &amp; $-$89.241 &amp; 19.291 &amp; $-$128.604 &amp; $-$52.690 \\ 
## waiver &amp; 1,647 &amp; 1.000 &amp; 0.000 &amp; 1 &amp; 1 \\ 
## gender &amp; 1,647 &amp; 1.506 &amp; 0.507 &amp; 1 &amp; 3 \\ 
## yob &amp; 1,646 &amp; 1,972.629 &amp; 16.981 &amp; 1,932 &amp; 2,008 \\ 
## education &amp; 1,647 &amp; 3.972 &amp; 1.526 &amp; 1 &amp; 6 \\ 
## leaning &amp; 1,647 &amp; 2.738 &amp; 0.964 &amp; 1 &amp; 5 \\ 
## income &amp; 1,647 &amp; 4.959 &amp; 2.877 &amp; 1 &amp; 10 \\ 
## internationalaffairs &amp; 1,647 &amp; 4.723 &amp; 1.575 &amp; 1 &amp; 7 \\ 
## knowledgecheck &amp; 1,647 &amp; 4.744 &amp; 0.859 &amp; 1 &amp; 5 \\ 
## US &amp; 1,647 &amp; 1.880 &amp; 0.325 &amp; 1 &amp; 2 \\ 
## family &amp; 1,647 &amp; 1.485 &amp; 0.500 &amp; 1 &amp; 2 \\ 
## uptakecheck &amp; 790 &amp; 2.296 &amp; 1.526 &amp; 1 &amp; 5 \\ 
## now &amp; 1,647 &amp; 4.130 &amp; 1.905 &amp; 1 &amp; 7 \\ 
## tenyears &amp; 1,647 &amp; 3.917 &amp; 1.683 &amp; 1 &amp; 7 \\ 
## shouldlead &amp; 1,647 &amp; 4.627 &amp; 1.542 &amp; 1 &amp; 7 \\ 
## deservelead &amp; 1,647 &amp; 4.081 &amp; 1.621 &amp; 1 &amp; 7 \\ 
## ownperception &amp; 1,647 &amp; 4.092 &amp; 1.530 &amp; 1 &amp; 7 \\ 
## otherperception &amp; 1,647 &amp; 3.294 &amp; 1.482 &amp; 1 &amp; 7 \\ 
## respect &amp; 1,647 &amp; 3.770 &amp; 1.380 &amp; 1 &amp; 7 \\ 
## morality &amp; 1,647 &amp; 3.528 &amp; 1.522 &amp; 1 &amp; 7 \\ 
## principles &amp; 1,647 &amp; 3.655 &amp; 1.517 &amp; 1 &amp; 7 \\ 
## emulation &amp; 1,647 &amp; 3.576 &amp; 1.633 &amp; 1 &amp; 7 \\ 
## rightthing &amp; 1,647 &amp; 3.741 &amp; 1.574 &amp; 1 &amp; 7 \\ 
## better &amp; 1,647 &amp; 3.733 &amp; 1.526 &amp; 1 &amp; 7 \\ 
## domore &amp; 1,647 &amp; 4.221 &amp; 1.476 &amp; 1 &amp; 7 \\ 
## tpp &amp; 1,647 &amp; 4.413 &amp; 1.369 &amp; 1 &amp; 7 \\ 
## exercise &amp; 1,647 &amp; 4.641 &amp; 1.651 &amp; 1 &amp; 7 \\ 
## hawk1 &amp; 1,647 &amp; 3.560 &amp; 1.814 &amp; 1 &amp; 7 \\ 
## hawk2 &amp; 1,647 &amp; 4.285 &amp; 1.618 &amp; 1 &amp; 7 \\ 
## hawk3 &amp; 1,647 &amp; 3.831 &amp; 1.695 &amp; 1 &amp; 7 \\ 
## treatment &amp; 1,647 &amp; 0.481 &amp; 0.500 &amp; 0 &amp; 1 \\ 
## male &amp; 1,647 &amp; 0.498 &amp; 0.500 &amp; 0 &amp; 1 \\ 
## age &amp; 1,646 &amp; 48.371 &amp; 16.981 &amp; 13 &amp; 89 \\ 
## rankingscore &amp; 1,647 &amp; 4.189 &amp; 1.067 &amp; 1.000 &amp; 7.000 \\ 
## respectscore &amp; 1,647 &amp; 3.653 &amp; 1.230 &amp; 1.000 &amp; 7.000 \\ 
## competencescore &amp; 1,647 &amp; 3.899 &amp; 1.313 &amp; 1.000 &amp; 7.000 \\ 
## statusscore &amp; 1,647 &amp; 3.913 &amp; 1.032 &amp; 1.000 &amp; 7.000 \\ 
## \hline \\[-1.8ex] 
## \end{tabular} 
## \end{table}</code></pre>
<pre class="r"><code>######################################################
####APPENDIX 2: TEXT ANALYSIS FOR GENERALIZABILITY####
######################################################

##cleaning data: create variable, delete duplicates, and define corpus

#duplicated(mfa)
mfa &lt;- mfa[!duplicated(mfa$answer), ]
##percentile
#quantile(mfa$a_sentiment, c(0, .1, .2, .3, .4, .5), na.rm = FALSE)
mfacriticism &lt;- mfa[mfa$a_sentiment &lt;= 2.0079,]
text &lt;- (mfacriticism$answer)
corpus &lt;- corpus(mfacriticism$answer)


##cleaning text

corpus &lt;- tokens(corpus, remove_punct = TRUE, remove_numbers = TRUE)
stopwords &lt;- c(&quot;china&quot;, stopwords(&quot;english&quot;))
corpus &lt;- tokens_remove(corpus, pattern = stopwords)

mfadfm &lt;- dfm(corpus)
#mfadfm &lt;- dfm_trim(mfadfm, min_docfreq=100) %&gt;%
   #dfm_subset(ntoken(mfadfm) &gt; 0)
              
topfeatures(mfadfm, 2000)</code></pre>
<pre><code>##                   us        international            countries 
##                 8966                 2490                 2356 
##              chinese               people               taiwan 
##                 2135                 1536                 1500 
##               rights                 side             security 
##                 1344                 1288                 1210 
##              china&#39;s                 stop                world 
##                 1152                 1131                 1113 
##             relevant            interests                human 
##                 1075                  999                  995 
##            relations            community           government 
##                  889                  870                  862 
##          cooperation                 also              nuclear 
##                  856                  827                  814 
##              affairs                  law                peace 
##                  804                  777                  754 
##                issue                  can                  one 
##                  721                  702                  688 
##            political            stability               firmly 
##                  684                  665                  662 
##              china’s             military          development 
##                  662                  653                  648 
##              country                 urge                 made 
##                  645                  628                  612 
##             position             china-us                 take 
##                  603                  603                  589 
##                 like             national                 many 
##                  581                  581                  576 
##             question              foreign                 hong 
##                  573                  572                  558 
##               issues            so-called                japan 
##                  547                  537                  535 
##                 even            including                media 
##                  528                  521                  520 
##               global                 said             american 
##                  519                  518                  515 
##          sovereignty                facts                first 
##                  514                  512                  501 
##            principle             internal                three 
##                  490                  490                  486 
##                 just                 kong                 time 
##                  485                  482                  480 
##               states                 make              reports 
##                  474                  470                  467 
##            democracy            sanctions             xinjiang 
##                  467                  463                  456 
##                  war                  two                joint 
##                  452                  446                  442 
##                clear            companies                  sea 
##                  441                  437                  435 
##               report                trade                water 
##                  429                  417                  412 
##                right                wrong             regional 
##                  408                  408                  407 
##               others               united               region 
##                  406                  398                  396 
##            one-china             concerns             measures 
##                  396                  395                  391 
##            situation                 hope                  act 
##                  388                  386                  386 
##                noted                years                state 
##                  383                  371                  359 
##                times             economic                   un 
##                  354                  353                  346 
##           activities                south           legitimate 
##                  342                  339                  339 
##         independence                 long              respect 
##                  337                  331                  324 
##            according                still                never 
##                  322                  320                  317 
##                 want             japanese              actions 
##                  316                  314                  313 
##              remarks                 arms            discharge 
##                  313                  312                  312 
##               forces               policy              serious 
##                  310                  309                  305 
##          information                order                 lies 
##                  302                  301                  299 
##            seriously             domestic              efforts 
##                  298                  295                  294 
##            safeguard            australia               public 
##                  293                  293                  292 
##                  way                rules                since 
##                  291                  291                  290 
##                basic              support              freedom 
##                  290                  290                  290 
##                  new                cyber               making 
##                  289                  288                  284 
##              opposes          immediately                 fact 
##                  284                  283                  281 
##               always          politicians              instead 
##                  269                  269                  268 
##                ocean                 must             covid-19 
##                  267                  266                  264 
##               health               stress              parties 
##                  263                  260                  259 
##                  may                 well             response 
##                  259                  259                  258 
##            undermine              certain               second 
##                  255                  254                  252 
##               forced              nothing           unilateral 
##                  252                  250                  250 
##                 work                needs                 year 
##                  249                  249                  247 
##               threat               mutual               oppose 
##                  246                  246                  246 
##                virus              however               normal 
##                  245                  243                  243 
##              weapons             official                labor 
##                  242                  241                  238 
##                  use                  now                fully 
##                  237                  236                  235 
##                power nuclear-contaminated          territorial 
##                  235                  235                  234 
##              history                 open                  see 
##                  233                  230                  228 
##                based              believe              ukraine 
##                  227                  226                  225 
##              council               across              million 
##                  223                  223                  223 
##         interference              without            mentioned 
##                  222                  222                  221 
##          communiqués           repeatedly                 cold 
##                  220                  220                  218 
##          responsible                force             practice 
##                  217                  217                  214 
##       discrimination             evidence              attempt 
##                  214                  211                  210 
##                  end               rather           opposition 
##                  208                  207                  207 
##          afghanistan                abide              opposed 
##                  207                  206                  206 
##             decision            necessary               system 
##                  206                  205                  201 
##            americans                 last                 part 
##                  201                  198                  198 
##              pretext                 data              control 
##                  197                  197                  196 
##                means           principles                major 
##                  196                  195                  195 
##            earnestly               strait                space 
##                  195                  195                  195 
##                   uk               matter                 plan 
##                  194                  194                  194 
##                 back                 call                cases 
##                  193                  191                  191 
##        irresponsible                 face               crimes 
##                  191                  191                  191 
##        confrontation                 need           australian 
##                  190                  189                  188 
##                using            concerned                 past 
##                  188                  188                  188 
##                every             strongly                norms 
##                  187                  186                  184 
##          authorities               russia              attacks 
##                  184                  184                  184 
##               around             problems            mentality 
##                  182                  180                  180 
##              justice          journalists       responsibility 
##                  180                  179                  179 
##                think               safety            committed 
##                  178                  178                  178 
##               market             research                point 
##                  178                  177                  176 
##            integrity          environment                  yet 
##                  176                  176                  175 
##               number               ethnic                 iaea 
##                  175                  175                  175 
##               strong                lives                 life 
##                  174                  173                  173 
##               stated           accordance                basis 
##                  171                  171                  171 
##                cause               racial                 us’s 
##                  170                  170                  170 
##             recently                truth              already 
##                  168                  168                  167 
##            bilateral            officials             people&#39;s 
##                  167                  167                  167 
##               crisis               pompeo                 name 
##                  167                  166                  164 
##            statement                 know                 full 
##                  164                  163                  163 
##             violence             dialogue                visit 
##                  163                  162                  162 
##                words                avoid                 true 
##                  162                  161                  161 
##             severely               social                 done 
##                  160                  160                  160 
##             epidemic                  put            interfere 
##                  160                  159                  159 
##               common               recent             children 
##                  159                  159                  159 
##               uphold                 home                taken 
##                  158                  158                  157 
##             continue                third              economy 
##                  157                  157                  157 
##                  say             possible                 case 
##                  156                  156                  156 
##            peninsula           commitment            strategic 
##                  155                  155                  154 
##               create                press                 harm 
##                  153                  153                  153 
##                 fair              another           diplomatic 
##                  153                  153                  152 
##                moves              correct                sides 
##                  152                  151                  151 
##                 move               double                 seen 
##                  150                  150                  149 
##                 help                 used                syria 
##                  149                  149                  149 
##                trust              illegal              science 
##                  148                  148                  148 
##              experts             hegemony            fukushima 
##                  148                  148                  148 
##                 laws           anti-china                 seek 
##                  146                  146                  145 
##              whether       disinformation                 path 
##                  144                  144                  143 
##           convention           consistent              defense 
##                  143                  143                  142 
##                among               manner                 real 
##                  142                  142                  142 
##              reflect             genocide      representations 
##                  142                  142                  141 
##            disregard                grave    non-proliferation 
##                  141                  141                  141 
##          interfering                legal                truly 
##                  140                  140                  140 
##               nature            violation             released 
##                  140                  139                  139 
##                 show                  due                  day 
##                  139                  139                  139 
##             violates             peaceful            governing 
##                  138                  138                  138 
##              gravely              concern            religious 
##                  138                  137                  137 
##           separatist          ideological             wantonly 
##                  137                  137                  137 
##             bullying                 nato                  far 
##                  137                  137                  136 
##             concrete               caused              current 
##                  136                  136                  135 
##             business              clearly               taking 
##                  135                  135                  135 
##          obligations         manipulation            standards 
##                  135                  135                  135 
##              japan’s                 good              various 
##                  135                  134                  134 
##               groups                study                 come 
##                  134                  133                  133 
##               become          accusations             exchange 
##                  132                  132                  131 
##                  get                 form            exchanges 
##                  131                  130                  130 
##               solemn                party                shows 
##                  129                  129                  129 
##             tensions             people’s               lawful 
##                  129                  129                  129 
##              contain            important            occasions 
##                  129                  128                  128 
##                sales                 acts           conditions 
##                  128                  128                  128 
##              origins              selfish          individuals 
##                  128                  128                  127 
##             ministry           scientific               shared 
##                  127                  127                  127 
##             negative                 give               trying 
##                  126                  126                  126 
##               allies               korean              example 
##                  126                  125                  124 
##           industrial               impact               afghan 
##                  124                  123                  123 
##                 firm                  ago               better 
##                  122                  122                  121 
##                  set            following            consensus 
##                  121                  121                  121 
##        organizations              islands            questions 
##                  121                  121                  120 
##          undermining               spread             multiple 
##                  120                  120                  120 
##               saying                 less                today 
##                  119                  119                  118 
##             incident               treaty               supply 
##                  118                  118                  118 
##        investigation               change         consultation 
##                  117                  117                  117 
##            intention                  gun             pandemic 
##                  117                  117                  117 
##                aware            president                smear 
##                  116                  116                  116 
##              protect               handle            attention 
##                  115                  114                  113 
##              provide                blame                 five 
##                  113                  113                  113 
##                 safe               damage              pointed 
##                  113                  112                  112 
##                   mr               things             students 
##                  112                  112                  112 
##                 rule              process                  u.s 
##                  112                  111                  111 
##            effective             coercion              biggest 
##                  111                  111                  110 
##            spreading                urges           groundless 
##                  110                  110                  109 
##              refrain            erroneous               lodged 
##                  109                  109                  109 
##              working         intelligence             citizens 
##                  109                  109                  108 
##            objective               highly                  ask 
##                  108                  108                  108 
##              members                talks                 find 
##                  108                  107                  107 
##            conducted              counter               follow 
##                  107                  107                  107 
##         institutions           department                white 
##                  107                  106                  106 
##                false                trend                 days 
##                  106                  106                  106 
##               defend              percent               action 
##                  106                  106                  105 
##               police                 upon              resolve 
##                  105                  105                  105 
##           resolutely            civilians               claims 
##                  104                  104                  104 
##                early              conduct            secretary 
##                  104                  104                  104 
##             interest               attack             smearing 
##                  104                  104                  104 
##               rumors            submarine           technology 
##                  104                  104                  103 
##           resolution         humanitarian              noticed 
##                  103                  103                  103 
##             creating                 ties                abuse 
##                  103                  103                  103 
##                risks            different            territory 
##                  103                  103                  103 
##                 soon                 news              general 
##                  103                  103                  103 
##                 iraq              seeking                 role 
##                  102                  102                  102 
##             maintain              meeting            yesterday 
##                  101                  101                  101 
##             properly                 look               killed 
##                  101                  101                  101 
##              respond           undermines         contaminated 
##                  100                  100                  100 
##             suppress               answer                 high 
##                  100                   99                   99 
##                stern           historical                going 
##                   99                   99                   99 
##                whole                 bias               ensure 
##                   99                   99                   98 
##            expressed          enterprises                 held 
##                   98                   98                   98 
##                outer                 fort               issued 
##                   98                   98                   97 
##               record             specific                 keep 
##                   97                   97                   97 
##              problem            regarding                   go 
##                   97                   97                   97 
##                 much             overseas              detrick 
##                   97                   97                   97 
##              promote          transparent               waters 
##                   96                   96                   96 
##           developing              western           minorities 
##                   96                   96                   96 
##           especially             attempts             behavior 
##                   95                   95                   95 
##              billion               member             zero-sum 
##                   95                   95                   95 
##               huawei          coronavirus                group 
##                   95                   95                   94 
##               really         stakeholders               nearly 
##                   94                   94                   94 
##                start                serve              century 
##                   94                   94                   94 
##             attitude               reason              playing 
##                   93                   93                   93 
##             policies               former              concept 
##                   93                   93                   93 
##                 play                 lead            practices 
##                   92                   92                   92 
##           biological                fight          competition 
##                   92                   92                   92 
##              pacific               regard                large 
##                   92                   91                   91 
##                great                local                  rok 
##                   90                   90                   90 
##          explanation                wuhan                offer 
##                   90                   90                   89 
##             pressure                forms                  let 
##                   89                   89                   89 
##         verification            diplomacy                 runs 
##                   89                   89                   89 
##             minister             standard             purposes 
##                   88                   88                   88 
##             mistakes                  lie         politicizing 
##                   88                   88                   88 
##              imposed               chains               native 
##                   88                   88                   88 
##                 view            dangerous              fulfill 
##                   87                   87                   87 
##                asked               august         safeguarding 
##                   86                   86                   86 
##                 hand                 away               wonder 
##                   86                   86                   86 
##          neighboring             conflict                comes 
##                   86                   86                   86 
##               anyone               deaths               return 
##                   86                   86                   85 
##                stand                 sent                 core 
##                   85                   85                   85 
##             agencies         organization                shall 
##                   85                   85                   85 
##                calls         surveillance         multilateral 
##                   85                   85                   85 
##              charter           concerning                place 
##                   84                   84                   84 
##               summit            personnel                asian 
##                   84                   84                   83 
##         unilaterally              similar               behind 
##                   83                   83                   83 
##             reported           population              violent 
##                   83                   83                   82 
##               marine             launched             coercive 
##                   82                   82                   82 
##       origin-tracing               within           undermined 
##                   82                   81                   81 
##                 tell             cultural               spirit 
##                   81                   81                   81 
##                claim             together              related 
##                   81                   81                   80 
##              contact             comments                 hold 
##                   80                   80                   80 
##          enforcement              abusing     responsibilities 
##                   80                   80                   80 
##               agenda            sovereign            upholding 
##                   80                   80                   80 
##            hypocrisy              address               review 
##                   80                   80                   80 
##         asia-pacific                 line                alone 
##                   79                   79                   79 
##              prevent              pushing           settlement 
##                   79                   79                   78 
##            conducive              company              forward 
##                   78                   78                   78 
##               accept              release         constructive 
##                   78                   78                   78 
##                small                total           navigation 
##                   78                   78                   78 
##              nations               canada             disposal 
##                   78                   78                   78 
##             outbreak                 wars                child 
##                   78                   78                   78 
##          regulations           foundation               purely 
##                   77                   77                   77 
##          independent             civilian       administration 
##                   77                   77                   77 
##         spokesperson              several            reiterate 
##                   77                   77                   77 
##              exposed           prosperity          credibility 
##                   77                   77                   77 
##           businesses                tibet               severe 
##                   77                   76                   76 
##               energy             maritime             systemic 
##                   76                   76                   76 
##            detention           indigenous               future 
##                   76                   76                   75 
##                makes              leaders              special 
##                   75                   75                   75 
##              sending            challenge              disrupt 
##                   75                   75                   75 
##                  lab               called                close 
##                   75                   74                   74 
##               troops           completely              victims 
##                   74                   74                   74 
##             innocent           supporting                sense 
##                   74                   74                   74 
##              african              january                black 
##                   74                   74                   74 
##             refugees              purpose                    $ 
##                   74                   74                   74 
##                 dprk            treatment            authority 
##                   73                   73                   73 
##                march             external             aircraft 
##                   73                   73                   73 
##             european                  led                 free 
##                   73                   73                   72 
##              largest            extremely           operations 
##                   72                   72                   72 
##                 visa              america               reject 
##                   72                   72                   72 
##                 goes               europe              violate 
##                   71                   71                   71 
##               agency             imposing              remains 
##                   71                   70                   70 
##                found        proliferation            sensitive 
##                   70                   70                   70 
##          communiques               openly        understanding 
##                   70                   70                   70 
##             equality                cover           statistics 
##                   70                   70                   70 
##                house                 took               latest 
##                   70                   70                   70 
##                bring             humanity             division 
##                   70                   70                   70 
##                 care                 deal         consequences 
##                   70                   69                   69 
##           deployment            incidents             violated 
##                   69                   69                   69 
##               proven          philippines            malicious 
##                   69                   69                   69 
##              claimed               racism               status 
##                   69                   69                   68 
##             progress                quite                 hurt 
##                   68                   68                   68 
##           individual               serves               course 
##                   68                   68                   68 
##            announced            hegemonic                 tool 
##                   68                   68                   68 
##              tracing              systems          fundamental 
##                   68                   67                   67 
##              central            terrorist                keeps 
##                   67                   67                   67 
##             internet             actually                theft 
##                   67                   67                   67 
##                 game           scientists             revealed 
##                   67                   67                   67 
##              rejects                solve              embassy 
##                   67                   66                   66 
##               office                refer                dalai 
##                   66                   66                   66 
##       taiwan-related               deeply               hyping 
##                   66                   66                   66 
##           facilities     people-to-people            targeting 
##                   66                   66                   66 
##     xinjiang-related            operation                track 
##                   66                   65                   65 
##            technical               source             opposing 
##                   65                   65                   65 
##                honor            promoting            institute 
##                   65                   65                   65 
##                 food               living      countermeasures 
##                   65                   65                   65 
##         geopolitical          commitments                share 
##                   65                   64                   64 
##               export             whatever               result 
##                   64                   64                   64 
##                speak              earlier                 bloc 
##                   64                   64                   64 
##              japan&#39;s         jurisdiction                 note 
##                   64                   64                   63 
##        comprehensive        communication                 kind 
##                   63                   63                   63 
##             stressed                allow           understand 
##                   63                   63                   63 
##            terrorism             anything            something 
##                   63                   63                   63 
##               center               beyond             supports 
##                   63                   63                   63 
##                 fail         restrictions               points 
##                   63                   63                   63 
##                shift        science-based              neither 
##                   63                   63                   62 
##              article               engage                least 
##                   62                   62                   62 
##                sound           solidarity                  top 
##                   62                   62                   62 
##                 heed                 rest                gains 
##                   62                   62                   62 
##             disputes           conference            mechanism 
##                   61                   61                   61 
##                 stay             congress              hacking 
##                   61                   61                   61 
##               impose         professional         deliberately 
##                   61                   61                   61 
##                 risk               doomed                areas 
##                   61                   61                   61 
##             long-arm             entirely            competent 
##                   61                   60                   60 
##              jointly                  pay           communiqué 
##                   60                   60                   60 
##             february               failed                image 
##                   60                   60                   60 
##              adopted              medical              network 
##                   60                   60                   60 
##               remain              reveals           monitoring 
##                   60                   60                   60 
##            published                aukus             majority 
##                   60                   60                   59 
##                 best              despite             judicial 
##                   59                   59                   59 
##            prejudice             accident                 rate 
##                   59                   59                   59 
##            blatantly             building          declaration 
##                   59                   59                   59 
##              talking           safeguards           university 
##                   59                   59                   59 
##           democratic              muslims             advanced 
##                   59                   59                   58 
##              causing             republic               excuse 
##                   58                   58                   58 
##           particular             products                along 
##                   58                   58                   58 
##            confirmed               abroad          negotiation 
##                   58                   58                   58 
##                bears                light                  lot 
##                   58                   58                   58 
##             canadian         stipulations              tariffs 
##                   58                   58                   58 
##              abandon                focus             fighting 
##                   58                   58                   58 
##               moment                known                  eye 
##                   57                   57                   57 
##              opinion                 east             handling 
##                   57                   57                   57 
##              tension               indeed              decades 
##                   57                   57                   57 
##                thing               origin                carry 
##                   57                   57                   57 
##                given              typical           prevention 
##                   57                   57                   57 
##                 iran              regions               victim 
##                   56                   56                   56 
##               theory              besides              exposes 
##                   56                   56                   56 
##               raised             opposite           initiative 
##                   56                   56                   56 
##             approach            agreement              mindset 
##                   56                   56                   56 
##               values             missions              engaged 
##                   56                   55                   55 
##                 hard              russian                wants 
##                   55                   55                   55 
##                 race             happened               places 
##                   55                   55                   55 
##            committee            long-term              vessels 
##                   55                   55                   55 
##                build             families               widely 
##                   55                   55                   55 
##               unclos           assessment             strictly 
##                   55                   55                   54 
##        consultations          governments              totally 
##                   54                   54                   54 
##                  wto                 task         government&#39;s 
##                   54                   54                   54 
##                   eu              reached            prudently 
##                   54                   54                   54 
##               simply             deplores              closely 
##                   54                   54                   53 
##         relationship              leading           recognized 
##                   53                   53                   53 
##                blind        environmental                 asia 
##                   53                   53                   53 
##                women                april                 bill 
##                   53                   53                   53 
##             rational             believes          unwarranted 
##                   53                   53                   53 
##              calling              society           confidence 
##                   53                   53                   53 
##                 half            otherwise                 died 
##                   53                   53                   53 
##                 meng              indians                  npt 
##                   53                   53                   53 
##                 read           allegation              decided 
##                   52                   52                   52 
##               turned              created               advise 
##                   52                   52                   52 
##             exercise             provided              outside 
##                   52                   52                   52 
##               weapon                 turn                 huge 
##                   52                   52                   52 
##            neighbors                 lost              succeed 
##                   52                   52                   52 
##               indian                 eyes                chain 
##                   52                   52                   52 
##               speech            attacking           oppression 
##                   52                   52                   52 
##                 hate              world’s           ambassador 
##                   52                   52                   51 
##               stands                 step           protecting 
##                   51                   51                   51 
##              website                  big                 poor 
##                   51                   51                   51 
##              benefit              handful              olympic 
##                   51                   51                   51 
##                 left                 july         negotiations 
##                   51                   51                   51 
##               enough              advance                chaos 
##                   51                   51                   51 
##              mistake             politics        technological 
##                   51                   51                   51 
##                  cpc              comment           commercial 
##                   51                   50                   50 
##              present            recognize           casualties 
##                   50                   50                   50 
##              mankind                 says                deeds 
##                   50                   50                   50 
##              discard                  old             repeated 
##                   50                   50                   50 
##                 list             cold-war               regime 
##                   50                   50                   50 
##             increase                terms                shown 
##                   50                   50                   50 
##           fabricated          provocation                 root 
##                   50                   50                   50 
##              greater               access                 labs 
##                   50                   50                   50 
##                  bwc            beginning                aimed 
##                   50                   49                   49 
##                stick        reunification              signals 
##                   49                   49                   49 
##                 four               facing             received 
##                   49                   49                   49 
##            financial            justified              brought 
##                   49                   49                   49 
##                 thus            country&#39;s                  run 
##                   49                   49                   49 
##               doubts             director                adopt 
##                   49                   49                   49 
##              mission            arbitrary                 meet 
##                   49                   49                   48 
##           contribute                worth             thorough 
##                   48                   48                   48 
##           protection                 went              grossly 
##                   48                   48                   48 
##              threats                 fire               effort 
##                   48                   48                   48 
##                poses               wanton        cybersecurity 
##                   48                   48                   48 
##                 cuba             openness              peoples 
##                   48                   47                   47 
##                field          established              carried 
##                   47                   47                   47 
##              trouble          inalienable            thousands 
##                   47                   47                   47 
##           constitute              complex               senior 
##                   47                   47                   47 
##           interferes            suffering               likely 
##                   47                   47                   47 
##               syrian             champion        participation 
##                   47                   47                   47 
##          suppression               uyghur   non-discriminatory 
##                   47                   47                   47 
##       discriminatory               person                entry 
##                   47                   46                   46 
##             positive                 sure              improve 
##                   46                   46                   46 
##             pursuing             friendly             affected 
##                   46                   46                   46 
##                 kept            equipment            responded 
##                   46                   46                   46 
##           reputation             december               months 
##                   46                   46                   46 
##              schools           provisions              express 
##                   46                   45                   45 
##                might          legislation             engaging 
##                   45                   45                   45 
##                often           accusation                 mind 
##                   45                   45                   45 
##              killing            resources           reasonable 
##                   45                   45                   45 
##                visas           assistance             contrast 
##                   45                   45                   45 
##                  met                knows            expansion 
##                   45                   45                   45 
##              treated           statements              average 
##                   45                   45                   45 
##             speaking              failure              beijing 
##                   45                   45                   44 
##           conclusion          resolutions             resolute 
##                   44                   44                   44 
##               affair                  sar                  quo 
##                   44                   44                   44 
##            sincerity             previous           conducting 
##                   44                   44                   44 
##                 test                proof           conscience 
##                   44                   44                   44 
##                death               ground               leader 
##                   44                   44                   44 
##           investment                voice             airspace 
##                   44                   44                   44 
##                plant                cited               target 
##                   44                   44                   44 
##                  air              reality              putting 
##                   44                   44                   44 
##             shifting               expert        establishment 
##                   44                   44                   44 
##            reporting                  dpp          provocative 
##                   44                   44                   43 
##             chemical           violations               amount 
##                   43                   43                   43 
##                steps                 live           challenges 
##                   43                   43                   43 
##            lawmakers                 tens                ahead 
##                   43                   43                   43 
##               kong&#39;s              account              fingers 
##                   43                   43                   43 
##             rejected              trading               almost 
##                   43                   43                   43 
##               belief             scholars               smears 
##                   43                   43                   43 
##                 leak               george         construction 
##                   43                   43                   42 
##          effectively              towards             condemns 
##                   42                   42                   42 
##              realize                 send          arbitrarily 
##                   42                   42                   42 
##            materials                 word                prove 
##                   42                   42                   42 
##               passed            espionage              turning 
##                   42                   42                   42 
##                 cost                  key               timely 
##                   42                   42                   42 
##            criticism         provocations              massive 
##                   42                   42                   42 
##              develop                 wang              program 
##                   42                   42                   42 
##              win-win          disarmament      multilateralism 
##                   42                   42                   42 
##             defender          suppressing                 sole 
##                   42                   42                   42 
##            framework             sanction                 mass 
##                   41                   41                   41 
##               signal               stable               demand 
##                   41                   41                   41 
##            advantage               remind                seems 
##                   41                   41                   41 
##         difficulties      china-australia          accountable 
##                   41                   41                   41 
##            consulate             strategy            supported 
##                   41                   41                   41 
##                 fake                label                level 
##                   41                   41                   41 
##                  saw              oppress              testing 
##                   41                   41                   41 
##                latin             examples              missile 
##                   41                   41                   40 
##           commission             commerce             industry 
##                   40                   40                   40 
##                takes                 ways            providing 
##                   40                   40                   40 
##               france           management          allegations 
##                   40                   40                   40 
##             criminal               period               revoke 
##                   40                   40                   40 
##           compliance                thief             meddling 
##                   40                   40                   40 
##            resolving                asean               abuses 
##                   40                   40                   40 
##                money       infrastructure          rules-based 
##                   40                   40                   40 
##                price              wanzhou             withdraw 
##                   40                   40                   39 
##                equal               asking          participate 
##                   39                   39                   39 
##            implement        circumstances               either 
##                   39                   39                   39 
##          fabricating             directly               driven 
##                   39                   39                   39 
##                 york                enemy           determined 
##                   39                   39                   39 
##               played        contributions           interfered 
##                   39                   39                   39 
##             claiming                waste        china-related 
##                   39                   39                   39 
##        unilateralism         hypocritical            developed 
##                   39                   39                   39 
##              airship             fairness                heavy 
##                   39                   38                   38 
##                 deep           importance            behaviors 
##                   38                   38                   38 
##              selling                crime           disrupting 
##                   38                   38                   38 
##              motives             frequent                 came 
##                   38                   38                   38 
##            restraint           cyberspace          large-scale 
##                   38                   38                   38 
##                enjoy       reconnaissance            suspected 
##                   38                   38                   38 
##       militarization              started            disasters 
##                   38                   38                   38 
##                 talk          interaction          trafficking 
##                   38                   38                   38 
##               single            education              private 
##                   38                   38                   38 
##          australia&#39;s           criticized            residents 
##                   38                   38                   38 
##               expose          discharging                 it’s 
##                   38                   38                   38 
##              service          constitutes             solution 
##                   37                   37                   37 
##            decisions               acting                 feel 
##                   37                   37                   37 
##                civil          differences                views 
##                   37                   37                   37 
##               steady              enhance           strengthen 
##                   37                   37                   37 
##                leave                  try           politicize 
##                   37                   37                   37 
##             accusing           frequently            increased 
##                   37                   37                   37 
##            illegally               island              excuses 
##                   37                   37                   37 
##              justify             millions           washington 
##                   37                   37                   37 
##               winter                games           aspiration 
##                   37                   37                   37 
##           obligation            country’s            tragedies 
##                   37                   37                   37 
##                thaad          radioactive                 june 
##                   37                   37                   37 
##                seeks              sectors               letter 
##                   37                   37                   37 
##                worse              blatant             actively 
##                   37                   36                   36 
##               abused             involved           wrongdoing 
##                   36                   36                   36 
##             religion                 date               choice 
##                   36                   36                   36 
##                front             alliance                twice 
##                   36                   36                   36 
##                one&#39;s          substantive         intervention 
##                   36                   36                   36 
##                 week              secrets              pursuit 
##                   36                   36                   36 
##                waged                  aim               pursue 
##                   36                   36                   36 
##              essence                cares                logic 
##                   36                   36                   36 
##                 debt          regrettably               longer 
##                   36                   36                   36 
##           withdrawal               meddle                   5g 
##                   36                   36                   36 
##               toward              highest              breathe 
##                   36                   36                   36 
##         government’s                 gain               denied 
##                   36                   35                   35 
##               strict             detained              overall 
##                   35                   35                   35 
##             election             complete                 push 
##                   35                   35                   35 
##         unreasonable                 bear             reflects 
##                   35                   35                   35 
##             carrying              welcome                broke 
##                   35                   35                   35 
##             approval                solid            protected 
##                   35                   35                   35 
##             november    counter-terrorism          arbitration 
##                   35                   35                   35 
##                   yi          maintaining               growth 
##                   35                   35                   35 
##          community’s              discord              leaving 
##                   35                   35                   35 
##              federal                globe               higher 
##                   35                   35                   35 
##             slanders             pompeo&#39;s              germany 
##                   35                   35                   35 
##           trilateral               survey                 onto 
##                   35                   35                   35 
##                   dr             personal                heard 
##                   35                   34                   34 
##              content             detailed         technologies 
##                   34                   34                   34 
##            therefore         transparency                 mean 
##                   34                   34                   34 
##              matters               secret                  six 
##                   34                   34                   34 
##                ready           aggression      above-mentioned 
##                   34                   34                   34 
##                 bent              world&#39;s             contrary 
##                   34                   34                   34 
##                staff             pointing               nansha 
##                   34                   34                   34 
##                judge              charges              explain 
##                   34                   34                   34 
##              exactly          arrangement                daily 
##                   34                   34                   34 
##              disease            narrative              dispose 
##                   34                   34                   34 
##        radionuclides            threatens          conventions 
##                   34                   33                   33 
##              injured            documents          opportunity 
##                   33                   33                   33 
##               citing             requires                 join 
##                   33                   33                   33 
##              suggest          cooperative             sabotage 
##                   33                   33                   33 
##             consular             benefits           additional 
##                   33                   33                   33 
##         interactions                 gone              achieve 
##                   33                   33                   33 
##            difficult               nation         implementing 
##                   33                   33                   33 
##            advancing                 host            continues 
##                   33                   33                   33 
##             obsessed               effect           containing 
##                   33                   33                   33 
##          deep-seated              outlets                floyd 
##                   33                   33                   33 
##             vaccines                draft            willfully 
##                   33                   32                   32 
##          detrimental               proper               stance 
##                   32                   32                   32 
##         cross-strait                 pose              insists 
##                   32                   32                   32 
##             property               signed              results 
##                   32                   32                   32 
##                 zone      representatives               middle 
##                   32                   32                   32 
##           experience           questioned            consumers 
##                   32                   32                   32 
##               invite           governance                 puts 
##                   32                   32                   32 
##             warships            egregious                   ms 
##                   32                   32                   32 
##                 vast               pelosi              poverty 
##                   32                   32                   32 
##              studies           eventually                holds 
##                   32                   32                   31 
##                 next                 vice                 lack 
##                   31                   31                   31 
##              reasons              handled              records 
##                   31                   31                   31 
##             taiwan&#39;s              tibetan                 lama 
##                   31                   31                   31 
##               entire                  oil                 lift 
##                   31                   31                   31 
##           agreements            condemned             meantime 
##                   31                   31                   31 
##            september            unpopular            disclosed 
##                   31                   31                   31 
##       investigations               border        tibet-related 
##                   31                   31                   31 
##             publicly               hidden           capability 
##                   31                   31                   31 
##               remove            nationals                kinds 
##                   31                   31                   31 
##                clean                 else           threatened 
##                   31                   31                   31 
##                  per           decoupling               reveal 
##                   31                   31                   31 
##             diseases        anti-epidemic       politicization 
##                   31                   31                   31 
##              cliques              doesn’t                model 
##                   31                   31                   31 
##              details                tried             escalate 
##                   30                   30                   30 
##              condemn              maximum          separatists 
##                   30                   30                   30 
##                 wish               afraid                  win 
##                   30                   30                   30 
##               proves                 head            exclusive 
##                   30                   30                   30 
##              lessons                 bare             strength 
##                   30                   30                   30 
##             training             relating            permanent 
##                   30                   30                   30 
##           journalist            disrupted           industries 
##                   30                   30                   30 
##        underestimate                 drug              deplore 
##                   30                   30                   30 
##             ideology           substances               muslim 
##                   30                   30                   30 
##           laboratory               sought                covid 
##                   30                   30                   30 
##       implementation          destruction           explicitly 
##                   29                   29                   29 
##              allowed               adhere          investigate 
##                   29                   29                   29 
##             ulterior        determination                  got 
##                   29                   29                   29 
##              friends          partnership               listen 
##                   29                   29                   29 
##              torture             proposed               talked 
##                   29                   29                   29 
##        protectionism                 draw               diaoyu 
##                   29                   29                   29 
##              command         contribution                 wide 
##                   29                   29                   29 
##                trick           constantly                reefs 
##                   29                   29                   29 
##             threaten              prudent               lately 
##                   29                   29                   29 
##             campaign               travel                 none 
##                   29                   29                   29 
##               tricks               reduce               family 
##                   29                   29                   29 
##               though              slander            repeating 
##                   29                   29                   29 
##             standing              numbers                 fear 
##                   29                   29                   29 
##                stoke                 uses              deflect 
##                   29                   29                   29 
##          secretariat          reliability             targeted 
##                   29                   29                   28 
##                hopes            obstacles                round 
##                   28                   28                   28 
##             imported          application               proved 
##                   28                   28                   28 
##             addition                  ten             outdated 
##                   28                   28                   28 
##                agree            arrogance                alert 
##                   28                   28                   28 
##                farce                color                value 
##                   28                   28                   28 
##              figures        cross-straits          unjustified 
##                   28                   28                   28 
##              upholds             invasion             contains 
##                   28                   28                   28 
##                learn               launch           intentions 
##                   28                   28                   28 
##                reach              muscles                 ever 
##                   28                   28                   28 
##                sites          institution           flagrantly 
##                   28                   28                   28 
##                 sees               online             fentanyl 
##                   28                   28                   28 
##                wrote                north           conspiracy 
##                   28                   28                   28 
##           wastewater                tepco          non-nuclear 
##                   28                   28                   28 
##                  i’m           ridiculous            immediate 
##                   28                   27                   27 
##                 loss               fields           leadership 
##                   27                   27                   27 
##           reiterated              observe              natural 
##                   27                   27                   27 
##               repeat                short             existing 
##                   27                   27                   27 
##              request                 tech            defensive 
##                   27                   27                   27 
##              stories            releasing             resolved 
##                   27                   27                   27 
##             troubles                  era                 ones 
##                   27                   27                   27 
##              holding                 dead               fourth 
##                   27                   27                   27 
##           politician               little            influence 
##                   27                   27                   27 
##                  bad          obstructing             pretexts 
##                   27                   27                   27 
##                harms            elections                 laid 
##                   27                   27                   27 
##                video              centers           persistent 
##                   27                   27                   27 
##             numerous         intimidation             sinister 
##                   27                   27                   27 
##                blood                novel                evali 
##                   27                   27                   27 
##            lithuania             transfer             remember 
##                   27                   26                   26 
##                 team             projects                hands 
##                   26                   26                   26 
##           atmosphere              sino-us                plans 
##                   26                   26                   26 
##           legitimacy                 fall                 sale 
##                   26                   26                   26 
##              harming         unacceptable                  add 
##                   26                   26                   26 
##               clique              balance                moral 
##                   26                   26                   26 
##                 base               spying              pursues 
##                   26                   26                   26 
##           elaborated           respecting            violating 
##                   26                   26                   26 
##       representative              limited                acted 
##                   26                   26                   26 
##             judgment            ignorance              follows 
##                   26                   26                   26 
##              accused                chief           ecological 
##                   26                   26                   26 
##             everyone            councilor              factors 
##                   26                   26                   26 
##               assets                gives          essentially 
##                   26                   26                   26 
##               unfair            executive             reaching 
##                   26                   26                   26 
##                jcpoa                 deaf                  ear 
##                   26                   26                   26 
##          elimination              speaker            shootings 
##                   26                   26                   26 
##             infected           livelihood       indiscriminate 
##                   26                   26                   26 
##             unmanned              coerced           escalation 
##                   26                   26                   25 
##            continued              dignity         developments 
##                   25                   25                   25 
##               figure             freedoms              british 
##                   25                   25                   25 
##         presidential              showing             entities 
##                   25                   25                   25 
##                check            criminals           faithfully 
##                   25                   25                   25 
##             capacity             answered               affect 
##                   25                   25                   25 
##                tries             isolated               surely 
##                   25                   25                   25 
##              citizen              obvious            unfounded 
##                   25                   25                   25 
##              subject             mutually           beneficial 
##                   25                   25                   25 
##            direction        fundamentally               choose 
##                   25                   25                   25 
##              grounds            practical             treaties 
##                   25                   25                   25 
##           throughout                 hype              expense 
##                   25                   25                   25 
##             absolute                 wall                don’t 
##                   25                   25                   25 
##            defending             stealing               german 
##                   25                   25                   25 
##                  sow                lines                event 
##                   25                   25                   25 
##             academic             hundreds                tests 
##                   25                   25                   25 
##             migrants              prisons             followed 
##                   25                   25                   24 
##                bases            guarantee                treat 
##                   24                   24                   24 
##             ordinary               staged           attempting 
##                   24                   24                   24 
##               merits               series          supervision 
##                   24                   24                   24 
##           escalating             minority             critical 
##                   24                   24                   24 
##              regular             meetings           motherland 
##                   24                   24                   24 
##            conflicts              distort              dealing 
##                   24                   24                   24 
##            involving            represent            knowledge 
##                   24                   24                   24 
##          convenience               prison              sharing 
##                   24                   24                   24 
##             disrupts            certainly          communities 
##                   24                   24                   24 
##            potential             squarely               empire 
##                   24                   24                   24 
##                hoped            cooperate             entitled 
##                   24                   24                   24 
##              learned                 owes           convincing 
##                   24                   24                   24 
##             baseless            stationed              perhaps 
##                   24                   24                   24 
##                  red              dollars               voiced 
##                   24                   24                   24 
##           everything              someone             blockade 
##                   24                   24                   24 
##     non-interference              keeping               tariff 
##                   24                   24                   24 
##              growing                prism             boarding 
##                   24                   24                   24 
##          maliciously           slandering             accounts 
##                   24                   24                   24 
##              ongoing              primary                 save 
##                   24                   24                   24 
##        unprecedented                 poll       stigmatization 
##                   24                   24                   24 
##            reactions             compared           deplorable 
##                   24                   24                   24 
##                 guns             proposal            specifics 
##                   24                   23                   23 
##             missiles                break             thinking 
##                   23                   23                   23 
##             shooting                 area             shocking 
##                   23                   23                   23 
##           resumption            concerted               chinas 
##                   23                   23                   23 
##            submitted             flagrant            emphasize 
##                   23                   23                   23 
##                later                 door            interview 
##                   23                   23                   23 
##                seven                board              culture 
##                   23                   23                   23 
##               assume          association               combat 
##                   23                   23                   23 
##                 west               merely             recovery 
##                   23                   23                   23 
##                earth              message          discussions 
##                   23                   23                   23 
##                 shot         arrangements             thousand 
##                   23                   23                   23 
##             efficacy             wielding             greatest 
##                   23                   23                   23 
##             partners               easily               voices 
##                   23                   23                   23 
##               absurd             rhetoric             shoulder 
##                   23                   23                   23 
##               option              october         infiltration 
##                   23                   23                   23 
##                guilt           reciprocal          reciprocity 
##                   23                   23                   23 
##                happy              written             articles 
##                   23                   23                   23 
##          politicized           xinjiang&#39;s                lying 
##                   23                   23                   23 
##                sorts             included               sector 
##                   23                   23                   23 
##              targets               guilty             admitted 
##                   23                   23                   23 
##            displaced              warfare               urgent 
##                   23                   23                   23 
##         overwhelming              redress            concocted 
##                   23                   23                   23 
##             athletes         bio-military            respected 
##                   23                   23                   22 
##            diplomats                stage                paper 
##                   22                   22                   22 
##         consistently                unity              picture 
##                   22                   22                   22 
##              extreme          indignation               strive 
##                   22                   22                   22 
##            encourage              embargo             achieved 
##                   22                   22                   22 
##        clarification              running              eastern 
##                   22                   22                   22 
##             attacked              warning            happening 
##                   22                   22                   22 
##              entered           jeopardize                story 
##                   22                   22                   22 
##             platform               israel               refuse 
##                   22                   22                   22 
##           interested               expand          community&#39;s 
##                   22                   22                   22 
##                posed           deliberate              uranium 
##                   22                   22                   22 
##              amounts            initiated         participated 
##                   22                   22                   22 
##              mislead                 card               breach 
##                   22                   22                   22 
##                drawn            criticize          criticizing 
##                   22                   22                   22 
##              mandate              invited 
##                   22                   22</code></pre>
<pre class="r"><code>##LDA topic modeling
lda &lt;- LDA(mfadfm, k = 30, method = &quot;Gibbs&quot;, control = list(verbose=25L, seed = 123, burnin = 100, iter = 3000))</code></pre>
<pre><code>## K = 30; V = 13784; M = 2632
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## Gibbs sampling completed!</code></pre>
<pre class="r"><code>terms &lt;- get_terms(lda, 40)
terms</code></pre>
<pre><code>##       Topic 1       Topic 2         Topic 3          Topic 4       
##  [1,] &quot;us&quot;          &quot;media&quot;         &quot;american&quot;       &quot;said&quot;        
##  [2,] &quot;forced&quot;      &quot;new&quot;           &quot;people&quot;         &quot;also&quot;        
##  [3,] &quot;labor&quot;       &quot;government&quot;    &quot;us&quot;             &quot;state&quot;       
##  [4,] &quot;according&quot;   &quot;reports&quot;       &quot;discrimination&quot; &quot;foreign&quot;     
##  [5,] &quot;many&quot;        &quot;report&quot;        &quot;americans&quot;      &quot;like&quot;        
##  [6,] &quot;years&quot;       &quot;may&quot;           &quot;racial&quot;         &quot;made&quot;        
##  [7,] &quot;child&quot;       &quot;freedom&quot;       &quot;government&quot;     &quot;visit&quot;       
##  [8,] &quot;convention&quot;  &quot;public&quot;        &quot;ethnic&quot;         &quot;ministry&quot;    
##  [9,] &quot;children&quot;    &quot;one&quot;           &quot;minorities&quot;     &quot;president&quot;   
## [10,] &quot;relevant&quot;    &quot;news&quot;          &quot;crimes&quot;         &quot;opposition&quot;  
## [11,] &quot;issue&quot;       &quot;press&quot;         &quot;native&quot;         &quot;yesterday&quot;   
## [12,] &quot;work&quot;        &quot;many&quot;          &quot;year&quot;           &quot;recent&quot;      
## [13,] &quot;among&quot;       &quot;recently&quot;      &quot;million&quot;        &quot;minister&quot;    
## [14,] &quot;statistics&quot;  &quot;times&quot;         &quot;population&quot;     &quot;remarks&quot;     
## [15,] &quot;times&quot;       &quot;also&quot;          &quot;long&quot;           &quot;first&quot;       
## [16,] &quot;women&quot;       &quot;just&quot;          &quot;indigenous&quot;     &quot;meeting&quot;     
## [17,] &quot;serious&quot;     &quot;investigation&quot; &quot;years&quot;          &quot;statement&quot;   
## [18,] &quot;past&quot;        &quot;without&quot;       &quot;still&quot;          &quot;issued&quot;      
## [19,] &quot;government&quot;  &quot;year&quot;          &quot;social&quot;         &quot;department&quot;  
## [20,] &quot;cases&quot;       &quot;article&quot;       &quot;african&quot;        &quot;spokesperson&quot;
## [21,] &quot;violation&quot;   &quot;last&quot;          &quot;even&quot;           &quot;fact&quot;        
## [22,] &quot;day&quot;         &quot;truth&quot;         &quot;groups&quot;         &quot;secretary&quot;   
## [23,] &quot;working&quot;     &quot;however&quot;       &quot;systemic&quot;       &quot;back&quot;        
## [24,] &quot;country&quot;     &quot;hand&quot;          &quot;white&quot;          &quot;reason&quot;      
## [25,] &quot;still&quot;       &quot;can&quot;           &quot;percent&quot;        &quot;right&quot;       
## [26,] &quot;number&quot;      &quot;lot&quot;           &quot;including&quot;      &quot;ambassador&quot;  
## [27,] &quot;repeatedly&quot;  &quot;taken&quot;         &quot;asian&quot;          &quot;office&quot;      
## [28,] &quot;five&quot;        &quot;social&quot;        &quot;children&quot;       &quot;leaders&quot;     
## [29,] &quot;trafficking&quot; &quot;happened&quot;      &quot;life&quot;           &quot;sent&quot;        
## [30,] &quot;world&quot;       &quot;example&quot;       &quot;today&quot;          &quot;can&quot;         
## [31,] &quot;remains&quot;     &quot;know&quot;          &quot;racism&quot;         &quot;two&quot;         
## [32,] &quot;least&quot;       &quot;speech&quot;        &quot;genocide&quot;       &quot;conference&quot;  
## [33,] &quot;half&quot;        &quot;believe&quot;       &quot;every&quot;          &quot;regarding&quot;   
## [34,] &quot;problem&quot;     &quot;white&quot;         &quot;indians&quot;        &quot;make&quot;        
## [35,] &quot;year&quot;        &quot;noticed&quot;       &quot;history&quot;        &quot;time&quot;        
## [36,] &quot;anyone&quot;      &quot;fake&quot;          &quot;black&quot;          &quot;pointed&quot;     
## [37,] &quot;take&quot;        &quot;published&quot;     &quot;hate&quot;           &quot;wang&quot;        
## [38,] &quot;victims&quot;     &quot;independent&quot;   &quot;living&quot;         &quot;officials&quot;   
## [39,] &quot;ago&quot;         &quot;yet&quot;           &quot;politicians&quot;    &quot;need&quot;        
## [40,] &quot;even&quot;        &quot;york&quot;          &quot;indian&quot;         &quot;mentioned&quot;   
##       Topic 5          Topic 6        Topic 7      Topic 8       
##  [1,] &quot;countries&quot;      &quot;affairs&quot;      &quot;position&quot;   &quot;issue&quot;       
##  [2,] &quot;us&quot;             &quot;china&#39;s&quot;      &quot;clear&quot;      &quot;situation&quot;   
##  [3,] &quot;world&quot;          &quot;internal&quot;     &quot;made&quot;       &quot;security&quot;    
##  [4,] &quot;even&quot;           &quot;stop&quot;         &quot;side&quot;       &quot;relevant&quot;    
##  [5,] &quot;also&quot;           &quot;china’s&quot;      &quot;many&quot;       &quot;ukraine&quot;     
##  [6,] &quot;major&quot;          &quot;issues&quot;       &quot;issue&quot;      &quot;parties&quot;     
##  [7,] &quot;noted&quot;          &quot;domestic&quot;     &quot;stated&quot;     &quot;peace&quot;       
##  [8,] &quot;become&quot;         &quot;act&quot;          &quot;political&quot;  &quot;peninsula&quot;   
##  [9,] &quot;global&quot;         &quot;urge&quot;         &quot;occasions&quot;  &quot;russia&quot;      
## [10,] &quot;making&quot;         &quot;relations&quot;    &quot;repeatedly&quot; &quot;korean&quot;      
## [11,] &quot;interest&quot;       &quot;religious&quot;    &quot;already&quot;    &quot;crisis&quot;      
## [12,] &quot;billion&quot;        &quot;pretext&quot;      &quot;remarks&quot;    &quot;talks&quot;       
## [13,] &quot;developing&quot;     &quot;firmly&quot;       &quot;times&quot;      &quot;council&quot;     
## [14,] &quot;since&quot;          &quot;foreign&quot;      &quot;consistent&quot; &quot;current&quot;     
## [15,] &quot;last&quot;           &quot;interfere&quot;    &quot;incident&quot;   &quot;hope&quot;        
## [16,] &quot;$&quot;              &quot;activities&quot;   &quot;china&#39;s&quot;    &quot;stability&quot;   
## [17,] &quot;biggest&quot;        &quot;interfering&quot;  &quot;opposed&quot;    &quot;dialogue&quot;    
## [18,] &quot;now&quot;            &quot;us&quot;           &quot;urge&quot;       &quot;settlement&quot;  
## [19,] &quot;according&quot;      &quot;so-called&quot;    &quot;case&quot;       &quot;tensions&quot;    
## [20,] &quot;year&quot;           &quot;interference&quot; &quot;stress&quot;     &quot;efforts&quot;     
## [21,] &quot;take&quot;           &quot;policy&quot;       &quot;matter&quot;     &quot;dprk&quot;        
## [22,] &quot;pay&quot;            &quot;political&quot;    &quot;fact&quot;       &quot;role&quot;        
## [23,] &quot;western&quot;        &quot;oppose&quot;       &quot;multiple&quot;   &quot;concerned&quot;   
## [24,] &quot;new&quot;            &quot;tibet&quot;        &quot;canadian&quot;   &quot;concerns&quot;    
## [25,] &quot;commercial&quot;     &quot;basic&quot;        &quot;canada&quot;     &quot;resolve&quot;     
## [26,] &quot;energy&quot;         &quot;dalai&quot;        &quot;meng&quot;       &quot;help&quot;        
## [27,] &quot;years&quot;          &quot;freedom&quot;      &quot;olympic&quot;    &quot;conflict&quot;    
## [28,] &quot;severe&quot;         &quot;norms&quot;        &quot;point&quot;      &quot;rok&quot;         
## [29,] &quot;debt&quot;           &quot;purely&quot;       &quot;spirit&quot;     &quot;strategic&quot;   
## [30,] &quot;like&quot;           &quot;refrain&quot;      &quot;regard&quot;     &quot;regional&quot;    
## [31,] &quot;needs&quot;          &quot;negative&quot;     &quot;including&quot;  &quot;resolution&quot;  
## [32,] &quot;selfish&quot;        &quot;using&quot;        &quot;wanzhou&quot;    &quot;tension&quot;     
## [33,] &quot;europe&quot;         &quot;respect&quot;      &quot;beijing&quot;    &quot;can&quot;         
## [34,] &quot;responsibility&quot; &quot;whatever&quot;     &quot;well&quot;       &quot;possible&quot;    
## [35,] &quot;institutions&quot;   &quot;opposed&quot;      &quot;winter&quot;     &quot;rather&quot;      
## [36,] &quot;spreading&quot;      &quot;undermine&quot;    &quot;ensure&quot;     &quot;early&quot;       
## [37,] &quot;vaccines&quot;       &quot;governing&quot;    &quot;ms&quot;         &quot;constructive&quot;
## [38,] &quot;financial&quot;      &quot;opposes&quot;      &quot;issues&quot;     &quot;way&quot;         
## [39,] &quot;cost&quot;           &quot;belief&quot;       &quot;stance&quot;     &quot;responsible&quot; 
## [40,] &quot;share&quot;          &quot;undermining&quot;  &quot;solemn&quot;     &quot;deployment&quot;  
##       Topic 9         Topic 10               Topic 11    Topic 12         
##  [1,] &quot;international&quot; &quot;japan&quot;                &quot;us&quot;        &quot;side&quot;           
##  [2,] &quot;sanctions&quot;     &quot;international&quot;        &quot;world&quot;     &quot;interests&quot;      
##  [3,] &quot;countries&quot;     &quot;water&quot;                &quot;others&quot;    &quot;chinese&quot;        
##  [4,] &quot;community&quot;     &quot;discharge&quot;            &quot;needs&quot;     &quot;take&quot;           
##  [5,] &quot;un&quot;            &quot;japanese&quot;             &quot;never&quot;     &quot;urge&quot;           
##  [6,] &quot;unilateral&quot;    &quot;ocean&quot;                &quot;force&quot;     &quot;china&#39;s&quot;        
##  [7,] &quot;law&quot;           &quot;nuclear-contaminated&quot; &quot;coercion&quot;  &quot;measures&quot;       
##  [8,] &quot;order&quot;         &quot;nuclear&quot;              &quot;diplomacy&quot; &quot;firmly&quot;         
##  [9,] &quot;basic&quot;         &quot;concerns&quot;             &quot;coercive&quot;  &quot;immediately&quot;    
## [10,] &quot;illegal&quot;       &quot;plan&quot;                 &quot;us’s&quot;      &quot;stop&quot;           
## [11,] &quot;support&quot;       &quot;community&quot;            &quot;china’s&quot;   &quot;legitimate&quot;     
## [12,] &quot;rules&quot;         &quot;fukushima&quot;            &quot;instead&quot;   &quot;safeguard&quot;      
## [13,] &quot;charter&quot;       &quot;decision&quot;             &quot;done&quot;      &quot;actions&quot;        
## [14,] &quot;imposed&quot;       &quot;japan’s&quot;              &quot;chinese&quot;   &quot;necessary&quot;      
## [15,] &quot;principles&quot;    &quot;safety&quot;               &quot;caused&quot;    &quot;seriously&quot;      
## [16,] &quot;council&quot;       &quot;relevant&quot;             &quot;time&quot;      &quot;wrong&quot;          
## [17,] &quot;purposes&quot;      &quot;countries&quot;            &quot;even&quot;      &quot;representations&quot;
## [18,] &quot;justice&quot;       &quot;environment&quot;          &quot;abuse&quot;     &quot;opposes&quot;        
## [19,] &quot;jurisdiction&quot;  &quot;government&quot;           &quot;used&quot;      &quot;severely&quot;       
## [20,] &quot;norms&quot;         &quot;health&quot;               &quot;country&quot;   &quot;lodged&quot;         
## [21,] &quot;actions&quot;       &quot;contaminated&quot;         &quot;means&quot;     &quot;strongly&quot;       
## [22,] &quot;long-arm&quot;      &quot;iaea&quot;                 &quot;allies&quot;    &quot;relevant&quot;       
## [23,] &quot;right&quot;         &quot;stakeholders&quot;         &quot;facts&quot;     &quot;erroneous&quot;      
## [24,] &quot;members&quot;       &quot;full&quot;                 &quot;important&quot; &quot;continue&quot;       
## [25,] &quot;world&quot;         &quot;neighboring&quot;          &quot;reflect&quot;   &quot;strong&quot;         
## [26,] &quot;majority&quot;      &quot;sea&quot;                  &quot;airship&quot;   &quot;lawful&quot;         
## [27,] &quot;based&quot;         &quot;marine&quot;               &quot;first&quot;     &quot;response&quot;       
## [28,] &quot;cuba&quot;          &quot;safe&quot;                 &quot;entry&quot;     &quot;correct&quot;        
## [29,] &quot;iran&quot;          &quot;side&quot;                 &quot;another&quot;   &quot;firm&quot;           
## [30,] &quot;system&quot;        &quot;disposal&quot;             &quot;blame&quot;     &quot;move&quot;           
## [31,] &quot;disregard&quot;     &quot;fully&quot;                &quot;put&quot;       &quot;gravely&quot;        
## [32,] &quot;organizations&quot; &quot;manner&quot;               &quot;clear&quot;     &quot;harm&quot;           
## [33,] &quot;practice&quot;      &quot;take&quot;                 &quot;control&quot;   &quot;stern&quot;          
## [34,] &quot;domestic&quot;      &quot;power&quot;                &quot;however&quot;   &quot;solemn&quot;         
## [35,] &quot;imposing&quot;      &quot;data&quot;                 &quot;high&quot;      &quot;resolutely&quot;     
## [36,] &quot;wantonly&quot;      &quot;report&quot;               &quot;entirely&quot;  &quot;undermine&quot;      
## [37,] &quot;including&quot;     &quot;consultation&quot;         &quot;behavior&quot;  &quot;well&quot;           
## [38,] &quot;economic&quot;      &quot;opposition&quot;           &quot;far&quot;       &quot;undermined&quot;     
## [39,] &quot;work&quot;          &quot;japan&#39;s&quot;              &quot;civilian&quot;  &quot;acts&quot;           
## [40,] &quot;call&quot;          &quot;public&quot;               &quot;away&quot;      &quot;countermeasures&quot;
##       Topic 13       Topic 14  Topic 15       Topic 16          
##  [1,] &quot;us&quot;           &quot;can&quot;     &quot;taiwan&quot;       &quot;military&quot;        
##  [2,] &quot;people&quot;       &quot;people&quot;  &quot;china-us&quot;     &quot;security&quot;        
##  [3,] &quot;afghanistan&quot;  &quot;one&quot;     &quot;principle&quot;    &quot;space&quot;           
##  [4,] &quot;war&quot;          &quot;just&quot;    &quot;one-china&quot;    &quot;weapons&quot;         
##  [5,] &quot;syria&quot;        &quot;make&quot;    &quot;relations&quot;    &quot;threat&quot;          
##  [6,] &quot;military&quot;     &quot;think&quot;   &quot;joint&quot;        &quot;use&quot;             
##  [7,] &quot;afghan&quot;       &quot;hope&quot;    &quot;three&quot;        &quot;us&quot;              
##  [8,] &quot;civilians&quot;    &quot;like&quot;    &quot;independence&quot; &quot;arms&quot;            
##  [9,] &quot;iraq&quot;         &quot;say&quot;     &quot;us&quot;           &quot;defense&quot;         
## [10,] &quot;humanitarian&quot; &quot;others&quot;  &quot;question&quot;     &quot;global&quot;          
## [11,] &quot;history&quot;      &quot;now&quot;     &quot;china’s&quot;      &quot;outer&quot;           
## [12,] &quot;troops&quot;       &quot;want&quot;    &quot;communiqués&quot;  &quot;country&quot;         
## [13,] &quot;crimes&quot;       &quot;whether&quot; &quot;strait&quot;       &quot;control&quot;         
## [14,] &quot;innocent&quot;     &quot;believe&quot; &quot;one&quot;          &quot;strategic&quot;       
## [15,] &quot;million&quot;      &quot;way&quot;     &quot;forces&quot;       &quot;stop&quot;            
## [16,] &quot;even&quot;         &quot;get&quot;     &quot;official&quot;     &quot;make&quot;            
## [17,] &quot;committed&quot;    &quot;come&quot;    &quot;region&quot;       &quot;treaty&quot;          
## [18,] &quot;years&quot;        &quot;certain&quot; &quot;sovereignty&quot;  &quot;moves&quot;           
## [19,] &quot;since&quot;        &quot;see&quot;     &quot;stop&quot;         &quot;national&quot;        
## [20,] &quot;wars&quot;         &quot;things&quot;  &quot;arms&quot;         &quot;policy&quot;          
## [21,] &quot;including&quot;    &quot;need&quot;    &quot;across&quot;       &quot;force&quot;           
## [22,] &quot;killed&quot;       &quot;said&quot;    &quot;abide&quot;        &quot;stability&quot;       
## [23,] &quot;still&quot;        &quot;good&quot;    &quot;stability&quot;    &quot;international&quot;   
## [24,] &quot;lives&quot;        &quot;back&quot;    &quot;integrity&quot;    &quot;world&quot;           
## [25,] &quot;casualties&quot;   &quot;know&quot;    &quot;sales&quot;        &quot;negative&quot;        
## [26,] &quot;two&quot;          &quot;saying&quot;  &quot;firmly&quot;       &quot;responsibilities&quot;
## [27,] &quot;caused&quot;       &quot;wonder&quot;  &quot;territorial&quot;  &quot;also&quot;            
## [28,] &quot;country&quot;      &quot;country&quot; &quot;commitment&quot;   &quot;disarmament&quot;     
## [29,] &quot;taken&quot;        &quot;tell&quot;    &quot;peace&quot;        &quot;earnestly&quot;       
## [30,] &quot;syrian&quot;       &quot;true&quot;    &quot;part&quot;         &quot;due&quot;             
## [31,] &quot;world&quot;        &quot;time&quot;    &quot;government&quot;   &quot;chemical&quot;        
## [32,] &quot;civilian&quot;     &quot;ask&quot;     &quot;wrong&quot;        &quot;new&quot;             
## [33,] &quot;refugees&quot;     &quot;another&quot; &quot;authorities&quot;  &quot;long&quot;            
## [34,] &quot;end&quot;          &quot;right&quot;   &quot;separatist&quot;   &quot;first&quot;           
## [35,] &quot;killing&quot;      &quot;really&quot;  &quot;opposes&quot;      &quot;peaceful&quot;        
## [36,] &quot;crisis&quot;       &quot;comes&quot;   &quot;avoid&quot;        &quot;peace&quot;           
## [37,] &quot;launched&quot;     &quot;better&quot;  &quot;ties&quot;         &quot;real&quot;            
## [38,] &quot;past&quot;         &quot;still&quot;   &quot;handle&quot;       &quot;truly&quot;           
## [39,] &quot;one&quot;          &quot;several&quot; &quot;support&quot;      &quot;advanced&quot;        
## [40,] &quot;hold&quot;         &quot;find&quot;    &quot;act&quot;          &quot;missile&quot;         
##       Topic 17             Topic 18         Topic 19         Topic 20        
##  [1,] &quot;companies&quot;          &quot;us&quot;             &quot;sea&quot;            &quot;virus&quot;         
##  [2,] &quot;trade&quot;              &quot;stop&quot;           &quot;south&quot;          &quot;us&quot;            
##  [3,] &quot;economic&quot;           &quot;nothing&quot;        &quot;sovereignty&quot;    &quot;covid-19&quot;      
##  [4,] &quot;national&quot;           &quot;so-called&quot;      &quot;peace&quot;          &quot;epidemic&quot;      
##  [5,] &quot;chinese&quot;            &quot;end&quot;            &quot;stability&quot;      &quot;research&quot;      
##  [6,] &quot;security&quot;           &quot;officials&quot;      &quot;law&quot;            &quot;international&quot; 
##  [7,] &quot;rules&quot;              &quot;using&quot;          &quot;regional&quot;       &quot;experts&quot;       
##  [8,] &quot;interests&quot;          &quot;justice&quot;        &quot;military&quot;       &quot;study&quot;         
##  [9,] &quot;market&quot;             &quot;smearing&quot;       &quot;international&quot;  &quot;cases&quot;         
## [10,] &quot;global&quot;             &quot;administration&quot; &quot;countries&quot;      &quot;origins&quot;       
## [11,] &quot;power&quot;              &quot;various&quot;        &quot;islands&quot;        &quot;response&quot;      
## [12,] &quot;business&quot;           &quot;claims&quot;         &quot;interests&quot;      &quot;community&quot;     
## [13,] &quot;fair&quot;               &quot;initiative&quot;     &quot;territorial&quot;    &quot;health&quot;        
## [14,] &quot;economy&quot;            &quot;says&quot;           &quot;china&#39;s&quot;        &quot;pandemic&quot;      
## [15,] &quot;industrial&quot;         &quot;clearly&quot;        &quot;relevant&quot;       &quot;world&quot;         
## [16,] &quot;supply&quot;             &quot;real&quot;           &quot;region&quot;         &quot;fort&quot;          
## [17,] &quot;enterprises&quot;        &quot;official&quot;       &quot;waters&quot;         &quot;detrick&quot;       
## [18,] &quot;principles&quot;         &quot;playing&quot;        &quot;freedom&quot;        &quot;global&quot;        
## [19,] &quot;huawei&quot;             &quot;senior&quot;         &quot;navigation&quot;     &quot;coronavirus&quot;   
## [20,] &quot;concept&quot;            &quot;contain&quot;        &quot;maritime&quot;       &quot;science&quot;       
## [21,] &quot;chains&quot;             &quot;around&quot;         &quot;aircraft&quot;       &quot;scientific&quot;    
## [22,] &quot;practice&quot;           &quot;ago&quot;            &quot;philippines&quot;    &quot;said&quot;          
## [23,] &quot;state&quot;              &quot;involved&quot;       &quot;china’s&quot;        &quot;wuhan&quot;         
## [24,] &quot;businesses&quot;         &quot;trying&quot;         &quot;issue&quot;          &quot;political&quot;     
## [25,] &quot;abusing&quot;            &quot;go&quot;             &quot;security&quot;       &quot;origin-tracing&quot;
## [26,] &quot;technology&quot;         &quot;tool&quot;           &quot;want&quot;           &quot;cooperation&quot;   
## [27,] &quot;competition&quot;        &quot;since&quot;          &quot;vessels&quot;        &quot;outbreak&quot;      
## [28,] &quot;suppress&quot;           &quot;charges&quot;        &quot;disputes&quot;       &quot;first&quot;         
## [29,] &quot;foreign&quot;            &quot;within&quot;         &quot;unclos&quot;         &quot;lab&quot;           
## [30,] &quot;firmly&quot;             &quot;call&quot;           &quot;territory&quot;      &quot;report&quot;        
## [31,] &quot;normal&quot;             &quot;time&quot;           &quot;safeguard&quot;      &quot;blame&quot;         
## [32,] &quot;environment&quot;        &quot;flagrantly&quot;     &quot;defense&quot;        &quot;american&quot;      
## [33,] &quot;bullying&quot;           &quot;targeted&quot;       &quot;concerned&quot;      &quot;scientists&quot;    
## [34,] &quot;tariffs&quot;            &quot;order&quot;          &quot;reconnaissance&quot; &quot;fight&quot;         
## [35,] &quot;hurt&quot;               &quot;signed&quot;         &quot;efforts&quot;        &quot;tracing&quot;       
## [36,] &quot;wto&quot;                &quot;house&quot;          &quot;militarization&quot; &quot;lives&quot;         
## [37,] &quot;certain&quot;            &quot;expose&quot;         &quot;firmly&quot;         &quot;efforts&quot;       
## [38,] &quot;provide&quot;            &quot;international&quot;  &quot;conduct&quot;        &quot;manipulation&quot;  
## [39,] &quot;technological&quot;      &quot;must&quot;           &quot;statement&quot;      &quot;control&quot;       
## [40,] &quot;non-discriminatory&quot; &quot;seen&quot;           &quot;nansha&quot;         &quot;spread&quot;        
##       Topic 21        Topic 22       Topic 23     Topic 24          
##  [1,] &quot;us&quot;            &quot;hong&quot;         &quot;rights&quot;     &quot;chinese&quot;         
##  [2,] &quot;cyber&quot;         &quot;kong&quot;         &quot;human&quot;      &quot;us&quot;              
##  [3,] &quot;attacks&quot;       &quot;law&quot;          &quot;us&quot;         &quot;media&quot;           
##  [4,] &quot;security&quot;      &quot;affairs&quot;      &quot;countries&quot;  &quot;journalists&quot;     
##  [5,] &quot;activities&quot;    &quot;national&quot;     &quot;violence&quot;   &quot;foreign&quot;         
##  [6,] &quot;countries&quot;     &quot;security&quot;     &quot;people&quot;     &quot;normal&quot;          
##  [7,] &quot;international&quot; &quot;china&#39;s&quot;      &quot;gun&quot;        &quot;side&quot;            
##  [8,] &quot;information&quot;   &quot;internal&quot;     &quot;issues&quot;     &quot;students&quot;        
##  [9,] &quot;report&quot;        &quot;country&quot;      &quot;problems&quot;   &quot;exchange&quot;        
## [10,] &quot;long&quot;          &quot;rule&quot;         &quot;right&quot;      &quot;two&quot;             
## [11,] &quot;including&quot;     &quot;sovereignty&quot;  &quot;record&quot;     &quot;diplomatic&quot;      
## [12,] &quot;community&quot;     &quot;interference&quot; &quot;protect&quot;    &quot;visa&quot;            
## [13,] &quot;surveillance&quot;  &quot;right&quot;        &quot;serious&quot;    &quot;personnel&quot;       
## [14,] &quot;government&quot;    &quot;government&quot;   &quot;detention&quot;  &quot;exchanges&quot;       
## [15,] &quot;verification&quot;  &quot;basic&quot;        &quot;take&quot;       &quot;people-to-people&quot;
## [16,] &quot;evidence&quot;      &quot;accordance&quot;   &quot;double&quot;     &quot;general&quot;         
## [17,] &quot;data&quot;          &quot;act&quot;          &quot;life&quot;       &quot;embassy&quot;         
## [18,] &quot;biological&quot;    &quot;two&quot;          &quot;time&quot;       &quot;press&quot;           
## [19,] &quot;theft&quot;         &quot;firmly&quot;       &quot;reflect&quot;    &quot;legitimate&quot;      
## [20,] &quot;intelligence&quot;  &quot;one&quot;          &quot;council&quot;    &quot;missions&quot;        
## [21,] &quot;internet&quot;      &quot;oppose&quot;       &quot;lives&quot;      &quot;political&quot;       
## [22,] &quot;open&quot;          &quot;foreign&quot;      &quot;others&quot;     &quot;citizens&quot;        
## [23,] &quot;hacking&quot;       &quot;safeguarding&quot; &quot;conditions&quot; &quot;oppression&quot;      
## [24,] &quot;network&quot;       &quot;systems&quot;      &quot;country&quot;    &quot;time&quot;            
## [25,] &quot;released&quot;      &quot;stability&quot;    &quot;use&quot;        &quot;restrictions&quot;    
## [26,] &quot;according&quot;     &quot;violent&quot;      &quot;cause&quot;      &quot;visas&quot;           
## [27,] &quot;fact&quot;          &quot;stop&quot;         &quot;un&quot;         &quot;cultural&quot;        
## [28,] &quot;allies&quot;        &quot;prosperity&quot;   &quot;upon&quot;       &quot;bias&quot;            
## [29,] &quot;bwc&quot;           &quot;norms&quot;        &quot;high&quot;       &quot;since&quot;           
## [30,] &quot;cybersecurity&quot; &quot;interfere&quot;    &quot;hypocrisy&quot;  &quot;measures&quot;        
## [31,] &quot;accusations&quot;   &quot;sar&quot;          &quot;protecting&quot; &quot;possible&quot;        
## [32,] &quot;even&quot;          &quot;order&quot;        &quot;wantonly&quot;   &quot;organizations&quot;   
## [33,] &quot;attack&quot;        &quot;interfering&quot;  &quot;reveals&quot;    &quot;days&quot;            
## [34,] &quot;convention&quot;    &quot;shall&quot;        &quot;arbitrary&quot;  &quot;consulate&quot;       
## [35,] &quot;also&quot;          &quot;kong&#39;s&quot;       &quot;concrete&quot;   &quot;every&quot;           
## [36,] &quot;many&quot;          &quot;forces&quot;       &quot;attention&quot;  &quot;freedom&quot;         
## [37,] &quot;stop&quot;          &quot;support&quot;      &quot;blind&quot;      &quot;immediately&quot;     
## [38,] &quot;groundless&quot;    &quot;enforcement&quot;  &quot;justice&quot;    &quot;number&quot;          
## [39,] &quot;without&quot;       &quot;central&quot;      &quot;standard&quot;   &quot;provide&quot;         
## [40,] &quot;malicious&quot;     &quot;respect&quot;      &quot;pretext&quot;    &quot;necessary&quot;       
##       Topic 25          Topic 26           Topic 27      Topic 28       
##  [1,] &quot;cooperation&quot;     &quot;xinjiang&quot;         &quot;states&quot;      &quot;countries&quot;    
##  [2,] &quot;relations&quot;       &quot;lies&quot;             &quot;united&quot;      &quot;democracy&quot;    
##  [3,] &quot;mutual&quot;          &quot;facts&quot;            &quot;chinese&quot;     &quot;war&quot;          
##  [4,] &quot;respect&quot;         &quot;so-called&quot;        &quot;people&quot;      &quot;world&quot;        
##  [5,] &quot;development&quot;     &quot;development&quot;      &quot;world&quot;       &quot;development&quot;  
##  [6,] &quot;australian&quot;      &quot;rumors&quot;           &quot;political&quot;   &quot;cold&quot;         
##  [7,] &quot;trust&quot;           &quot;disinformation&quot;   &quot;pompeo&quot;      &quot;confrontation&quot;
##  [8,] &quot;two&quot;             &quot;political&quot;        &quot;country&quot;     &quot;mentality&quot;    
##  [9,] &quot;bilateral&quot;       &quot;never&quot;            &quot;politicians&quot; &quot;peace&quot;        
## [10,] &quot;australia&quot;       &quot;false&quot;            &quot;people&#39;s&quot;    &quot;nato&quot;         
## [11,] &quot;interests&quot;       &quot;lie&quot;              &quot;government&quot;  &quot;regional&quot;     
## [12,] &quot;sides&quot;           &quot;genocide&quot;         &quot;u.s&quot;         &quot;hegemony&quot;     
## [13,] &quot;china-us&quot;        &quot;forced&quot;           &quot;mr&quot;          &quot;zero-sum&quot;     
## [14,] &quot;always&quot;          &quot;based&quot;            &quot;american&quot;    &quot;others&quot;       
## [15,] &quot;countries&quot;       &quot;smear&quot;            &quot;time&quot;        &quot;summit&quot;       
## [16,] &quot;basis&quot;           &quot;contain&quot;          &quot;path&quot;        &quot;common&quot;       
## [17,] &quot;hope&quot;            &quot;xinjiang-related&quot; &quot;facts&quot;       &quot;so-called&quot;    
## [18,] &quot;work&quot;            &quot;anti-china&quot;       &quot;like&quot;        &quot;seek&quot;         
## [19,] &quot;objective&quot;       &quot;labor&quot;            &quot;stop&quot;        &quot;order&quot;        
## [20,] &quot;dialogue&quot;        &quot;forces&quot;           &quot;can&quot;         &quot;asia-pacific&quot; 
## [21,] &quot;china&#39;s&quot;         &quot;ethnic&quot;           &quot;even&quot;        &quot;system&quot;       
## [22,] &quot;equality&quot;        &quot;china’s&quot;          &quot;words&quot;       &quot;small&quot;        
## [23,] &quot;based&quot;           &quot;truth&quot;            &quot;party&quot;       &quot;division&quot;     
## [24,] &quot;create&quot;          &quot;groups&quot;           &quot;years&quot;       &quot;trend&quot;        
## [25,] &quot;correct&quot;         &quot;make&quot;             &quot;goes&quot;        &quot;bloc&quot;         
## [26,] &quot;never&quot;           &quot;stability&quot;        &quot;see&quot;         &quot;creating&quot;     
## [27,] &quot;promote&quot;         &quot;also&quot;             &quot;day&quot;         &quot;name&quot;         
## [28,] &quot;right&quot;           &quot;fact&quot;             &quot;cpc&quot;         &quot;hegemonic&quot;    
## [29,] &quot;instead&quot;         &quot;including&quot;        &quot;made&quot;        &quot;region&quot;       
## [30,] &quot;committed&quot;       &quot;like&quot;             &quot;talking&quot;     &quot;democratic&quot;   
## [31,] &quot;serves&quot;          &quot;intention&quot;        &quot;remarks&quot;     &quot;military&quot;     
## [32,] &quot;sound&quot;           &quot;uyghur&quot;           &quot;clearly&quot;     &quot;ideological&quot;  
## [33,] &quot;view&quot;            &quot;making&quot;           &quot;full&quot;        &quot;shared&quot;       
## [34,] &quot;peoples&quot;         &quot;people&quot;           &quot;history&quot;     &quot;new&quot;          
## [35,] &quot;rational&quot;        &quot;century&quot;          &quot;sense&quot;       &quot;needs&quot;        
## [36,] &quot;benefit&quot;         &quot;spreading&quot;        &quot;doomed&quot;      &quot;abandon&quot;      
## [37,] &quot;china-australia&quot; &quot;spread&quot;           &quot;makes&quot;       &quot;future&quot;       
## [38,] &quot;remarks&quot;         &quot;fabricated&quot;       &quot;past&quot;        &quot;true&quot;         
## [39,] &quot;communication&quot;   &quot;handful&quot;          &quot;america&quot;     &quot;rather&quot;       
## [40,] &quot;making&quot;          &quot;allegation&quot;       &quot;stand&quot;       &quot;seeking&quot;      
##       Topic 29      Topic 30           
##  [1,] &quot;relevant&quot;    &quot;nuclear&quot;          
##  [2,] &quot;question&quot;    &quot;cooperation&quot;      
##  [3,] &quot;first&quot;       &quot;countries&quot;        
##  [4,] &quot;second&quot;      &quot;international&quot;    
##  [5,] &quot;reports&quot;     &quot;australia&quot;        
##  [6,] &quot;mentioned&quot;   &quot;uk&quot;               
##  [7,] &quot;noted&quot;       &quot;non-proliferation&quot;
##  [8,] &quot;information&quot; &quot;three&quot;            
##  [9,] &quot;aware&quot;       &quot;regional&quot;         
## [10,] &quot;want&quot;        &quot;submarine&quot;        
## [11,] &quot;questions&quot;   &quot;concerns&quot;         
## [12,] &quot;just&quot;        &quot;stability&quot;        
## [13,] &quot;point&quot;       &quot;states&quot;           
## [14,] &quot;authorities&quot; &quot;serious&quot;          
## [15,] &quot;laws&quot;        &quot;iaea&quot;             
## [16,] &quot;refer&quot;       &quot;issues&quot;           
## [17,] &quot;answer&quot;      &quot;community&quot;        
## [18,] &quot;following&quot;   &quot;obligations&quot;      
## [19,] &quot;similar&quot;     &quot;proliferation&quot;    
## [20,] &quot;also&quot;        &quot;peace&quot;            
## [21,] &quot;may&quot;         &quot;member&quot;           
## [22,] &quot;competent&quot;   &quot;aukus&quot;            
## [23,] &quot;specific&quot;    &quot;risks&quot;            
## [24,] &quot;third&quot;       &quot;safeguards&quot;       
## [25,] &quot;anything&quot;    &quot;fulfill&quot;          
## [26,] &quot;situation&quot;   &quot;npt&quot;              
## [27,] &quot;seen&quot;        &quot;system&quot;           
## [28,] &quot;moment&quot;      &quot;highly&quot;           
## [29,] &quot;accordance&quot;  &quot;efforts&quot;          
## [30,] &quot;hope&quot;        &quot;treaty&quot;           
## [31,] &quot;authority&quot;   &quot;weapon&quot;           
## [32,] &quot;offer&quot;       &quot;regime&quot;           
## [33,] &quot;give&quot;        &quot;earnestly&quot;        
## [34,] &quot;like&quot;        &quot;call&quot;             
## [35,] &quot;regulations&quot; &quot;state&quot;            
## [36,] &quot;making&quot;      &quot;stress&quot;           
## [37,] &quot;regarding&quot;   &quot;purpose&quot;          
## [38,] &quot;raised&quot;      &quot;issue&quot;            
## [39,] &quot;can&quot;         &quot;weapons&quot;          
## [40,] &quot;comment&quot;     &quot;concern&quot;</code></pre>
<pre class="r"><code>topics &lt;- get_topics(lda, 1) ##what&#39;s highest topic of a given document? 


mfacriticism$prob_topic &lt;- lda@gamma[,1:30]
mfacriticism$pred_topic &lt;- topics
topicnumbers &lt;- table(topics)

#calculating # of documents by topic, the #s used in Appendix 2 tables
topicnumbers </code></pre>
<pre><code>## topics
##   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17  18  19  20 
##  29  58  67  56  32  91  72 165  77 120  64  61  84  71 274  65 170  16 126 108 
##  21  22  23  24  25  26  27  28  29  30 
## 131  96  72  99  75  63  47  86 113  44</code></pre>
<pre class="r"><code>##Selecting topics

##Determine optimal number of topics
library(tm)</code></pre>
<pre><code>## Loading required package: NLP</code></pre>
<pre><code>## 
## Attaching package: &#39;NLP&#39;</code></pre>
<pre><code>## The following object is masked from &#39;package:ggplot2&#39;:
## 
##     annotate</code></pre>
<pre><code>## The following objects are masked from &#39;package:quanteda&#39;:
## 
##     meta, meta&lt;-</code></pre>
<pre><code>## 
## Attaching package: &#39;tm&#39;</code></pre>
<pre><code>## The following object is masked from &#39;package:stopwords&#39;:
## 
##     stopwords</code></pre>
<pre><code>## The following object is masked from &#39;package:quanteda&#39;:
## 
##     stopwords</code></pre>
<pre class="r"><code>corpus &lt;- Corpus(VectorSource(mfacriticism$answer))
testcorpus &lt;- TermDocumentMatrix(corpus)
dtm &lt;- testcorpus

##Method #1 from LDA Tuning

result &lt;- FindTopicsNumber(
  dtm,
  topics = seq(from = 2, to = 60, by = 5),
  metrics = c(&quot;Griffiths2004&quot;, &quot;CaoJuan2009&quot;, &quot;Arun2010&quot;, &quot;Deveaud2014&quot;),
  method = &quot;Gibbs&quot;,
  control = list(seed = 77),
  verbose = TRUE
)</code></pre>
<pre><code>## fit models... done.
## calculate metrics:
##   Griffiths2004... done.
##   CaoJuan2009... done.
##   Arun2010... done.
##   Deveaud2014... done.</code></pre>
<pre class="r"><code>topicnumbergraph1 &lt;- FindTopicsNumber_plot(result)</code></pre>
<pre><code>## Warning: The `&lt;scale&gt;` argument of `guides()` cannot be `FALSE`. Use &quot;none&quot; instead as
## of ggplot2 3.3.4.
## ℹ The deprecated feature was likely used in the ldatuning package.
##   Please report the issue at &lt;https://github.com/nikita-moor/ldatuning/issues&gt;.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.</code></pre>
<p><img role="img" 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" width="672" /></p>
<pre class="r"><code>##Method #2: perplexity test

n_topics &lt;- c(2, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50)
compare &lt;- n_topics %&gt;%
  map(LDA, x = dtm, control = list(seed = 123))
data_frame(k = n_topics,
           perplex = map_dbl(compare, perplexity)) %&gt;%
  ggplot(aes(k, perplex)) +
  geom_point() +
  geom_line() +
  labs(x = &quot;Number of topics&quot;,
       y = &quot;Perplexity&quot;)</code></pre>
<pre><code>## Warning: `data_frame()` was deprecated in tibble 1.1.0.
## ℹ Please use `tibble()` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.</code></pre>
<p><img role="img" 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" width="672" /></p>
<pre class="r"><code>##Text analysis validation by year

#covid validation, which happened in 2020
covid &lt;- mfacriticism[which(mfacriticism$pred_topic==20),]
covidbyyear &lt;- count(covid, year)

#insert 0 then plot 

covidbyyear &lt;- rbind(covidbyyear, data.frame(&quot;year&quot;=&quot;2002&quot;, &quot;n&quot;=0))
covidbyyear &lt;- rbind(covidbyyear, data.frame(&quot;year&quot;=&quot;2003&quot;, &quot;n&quot;=0))
covidbyyear &lt;- rbind(covidbyyear, data.frame(&quot;year&quot;=&quot;2004&quot;, &quot;n&quot;=0))
covidbyyear &lt;- rbind(covidbyyear, data.frame(&quot;year&quot;=&quot;2005&quot;, &quot;n&quot;=0))
covidbyyear &lt;- rbind(covidbyyear, data.frame(&quot;year&quot;=&quot;2006&quot;, &quot;n&quot;=0))
covidbyyear &lt;- rbind(covidbyyear, data.frame(&quot;year&quot;=&quot;2007&quot;, &quot;n&quot;=0))
covidbyyear &lt;- rbind(covidbyyear, data.frame(&quot;year&quot;=&quot;2008&quot;, &quot;n&quot;=0))
covidbyyear &lt;- rbind(covidbyyear, data.frame(&quot;year&quot;=&quot;2009&quot;, &quot;n&quot;=0))
covidbyyear &lt;- rbind(covidbyyear, data.frame(&quot;year&quot;=&quot;2010&quot;, &quot;n&quot;=0))
covidbyyear &lt;- rbind(covidbyyear, data.frame(&quot;year&quot;=&quot;2011&quot;, &quot;n&quot;=0))
covidbyyear &lt;- rbind(covidbyyear, data.frame(&quot;year&quot;=&quot;2012&quot;, &quot;n&quot;=0))
covidbyyear &lt;- rbind(covidbyyear, data.frame(&quot;year&quot;=&quot;2013&quot;, &quot;n&quot;=0))
covidbyyear &lt;- rbind(covidbyyear, data.frame(&quot;year&quot;=&quot;2014&quot;, &quot;n&quot;=0))
covidbyyear &lt;- rbind(covidbyyear, data.frame(&quot;year&quot;=&quot;2015&quot;, &quot;n&quot;=0))
covidbyyear &lt;- rbind(covidbyyear, data.frame(&quot;year&quot;=&quot;2016&quot;, &quot;n&quot;=0))
covidbyyear &lt;- rbind(covidbyyear, data.frame(&quot;year&quot;=&quot;2017&quot;, &quot;n&quot;=0))
covidbyyear &lt;- rbind(covidbyyear, data.frame(&quot;year&quot;=&quot;2018&quot;, &quot;n&quot;=0))
covidbyyear &lt;- rbind(covidbyyear, data.frame(&quot;year&quot;=&quot;2019&quot;, &quot;n&quot;=0))

##plot COVID-19 graph

covidgraph &lt;- ggplot(data=covidbyyear, aes(x= year, y=n)) + geom_bar(position=&quot;dodge&quot;, stat=&quot;identity&quot;, width = 0.3, color = &quot;black&quot;) + ylab (&quot;Frequency&quot;) + xlab (&quot;&quot;) + ggtitle(&quot;Coverage of COVID-19&quot;) + theme_classic()

covidgraph &lt;- covidgraph + ylab (&quot;Frequency&quot;) + xlab (&quot;&quot;) + theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 1), axis.title.x = element_text(hjust= 0.5), axis.title.y = element_text(vjust= 0.5))  

## call covid validation graph
covidgraph</code></pre>
<p><img role="img" 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" width="672" /></p>
<pre class="r"><code>#hk protest validation, Umbrella 2014, then 2019 over national security bill

hkprotest &lt;- mfacriticism[which(mfacriticism$pred_topic==22),]
hkprotestbyyear &lt;- count(hkprotest, year)

hkprotestbyyear &lt;- rbind(hkprotestbyyear, data.frame(&quot;year&quot;=&quot;2004&quot;, &quot;n&quot;=0))
hkprotestbyyear &lt;- rbind(hkprotestbyyear, data.frame(&quot;year&quot;=&quot;2005&quot;, &quot;n&quot;=0))
hkprotestbyyear &lt;- rbind(hkprotestbyyear, data.frame(&quot;year&quot;=&quot;2006&quot;, &quot;n&quot;=0))
hkprotestbyyear &lt;- rbind(hkprotestbyyear, data.frame(&quot;year&quot;=&quot;2008&quot;, &quot;n&quot;=0))
hkprotestbyyear &lt;- rbind(hkprotestbyyear, data.frame(&quot;year&quot;=&quot;2012&quot;, &quot;n&quot;=0))
hkprotestbyyear &lt;- rbind(hkprotestbyyear, data.frame(&quot;year&quot;=&quot;2013&quot;, &quot;n&quot;=0))


hkgraph &lt;- ggplot(data=hkprotestbyyear, aes(x= year, y=n)) + geom_bar(position=&quot;dodge&quot;, stat=&quot;identity&quot;, width = 0.3, color = &quot;black&quot;) + ylab (&quot;Frequency&quot;) + xlab (&quot;&quot;) + ggtitle(&quot;Coverage of Hong Kong Protest&quot;) + theme_classic()

hkgraph &lt;- hkgraph + ylab (&quot;Frequency&quot;) + xlab (&quot;&quot;) + theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 1), axis.title.x = element_text(hjust= 0.5), axis.title.y = element_text(vjust= 0.5))  

#call hk validation graph

hkgraph</code></pre>
<p><img role="img" 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" width="672" /></p>
<pre class="r"><code>#sensitivity analysis 

mfacriticism$sensitivity &lt;- ifelse(
  (
    mfacriticism$pred_topic == &quot;11&quot; |
      mfacriticism$pred_topic == &quot;13&quot; |
      mfacriticism$pred_topic == &quot;18&quot; |
      mfacriticism$pred_topic == &quot;20&quot; |
      mfacriticism$pred_topic == &quot;21&quot; |
      mfacriticism$pred_topic == &quot;23&quot; |
      mfacriticism$pred_topic == &quot;9&quot; |
      mfacriticism$pred_topic == &quot;25&quot; |
      mfacriticism$pred_topic == &quot;28&quot;
  ),
  1,
  ifelse((
    mfacriticism$pred_topic == &quot;6&quot; |
      mfacriticism$pred_topic == &quot;15&quot; |
      mfacriticism$pred_topic == &quot;19&quot; |
      mfacriticism$pred_topic == &quot;22&quot; |
      mfacriticism$pred_topic == &quot;26&quot;
  ),
  2,
  3
  )
)

quantile(mfa$a_sentiment, c(0, 0.05, 0.1, 0.15, 0.2, 0.25, 0.3), na.rm = FALSE)</code></pre>
<pre><code>##       0%       5%      10%      15%      20%      25%      30% 
## -0.10000  0.57165  0.94930  1.26100  1.52160  1.76500  2.00790</code></pre>
<pre class="r"><code>mfacriticism$sensitivity &lt;- as.numeric(mfacriticism$sensitivity)
count(mfacriticism, sensitivity)</code></pre>
<pre><code>##   sensitivity    n
## 1           1  713
## 2           2  650
## 3           3 1269</code></pre>
<pre class="r"><code>criticism5 &lt;- mfacriticism[which(mfacriticism$a_sentiment &lt;= 0.57165),]
criticism10 &lt;- mfacriticism[which(mfacriticism$a_sentiment &lt;= 0.94930),]
criticism15 &lt;- mfacriticism[which(mfacriticism$a_sentiment &lt;= 1.26100),]
criticism20 &lt;- mfacriticism[which(mfacriticism$a_sentiment &lt;= 1.52160),]
criticism25 &lt;- mfacriticism[which(mfacriticism$a_sentiment &lt;= 1.76500),]

count(criticism5, sensitivity)</code></pre>
<pre><code>##   sensitivity   n
## 1           1 154
## 2           2  79
## 3           3 206</code></pre>
<pre class="r"><code>count(criticism10, sensitivity)</code></pre>
<pre><code>##   sensitivity   n
## 1           1 280
## 2           2 194
## 3           3 404</code></pre>
<pre class="r"><code>count(criticism15, sensitivity)</code></pre>
<pre><code>##   sensitivity   n
## 1           1 398
## 2           2 291
## 3           3 628</code></pre>
<pre class="r"><code>count(criticism20, sensitivity)</code></pre>
<pre><code>##   sensitivity   n
## 1           1 514
## 2           2 415
## 3           3 826</code></pre>
<pre class="r"><code>count(criticism25, sensitivity)</code></pre>
<pre><code>##   sensitivity    n
## 1           1  623
## 2           2  540
## 3           3 1034</code></pre>
<pre class="r"><code>#################
####APPENDIX #3##
#################

#################
##BALANCE TESTS##
#################

sumtable(data, group = &#39;treatment&#39;, group.test = T, out = &#39;latex&#39;)</code></pre>
<pre><code>## \begin{table}[!htbp] \centering \renewcommand*{\arraystretch}{1.1}\caption{Summary Statistics}\resizebox{\textwidth}{!}{
## \begin{tabular}{lrrrrrrl}
## \hline
## \hline
## treatment &amp; \multicolumn{3}{c}{0} &amp; \multicolumn{3}{c}{1} &amp;   \\ 
##  Variable &amp; \multicolumn{1}{c}{N} &amp; \multicolumn{1}{c}{Mean} &amp; \multicolumn{1}{c}{SD} &amp; \multicolumn{1}{c}{N} &amp; \multicolumn{1}{c}{Mean} &amp; \multicolumn{1}{c}{SD} &amp; \multicolumn{1}{c}{Test} \\ 
## \hline
## X.1 &amp; 854 &amp; 890 &amp; 470 &amp; 793 &amp; 753 &amp; 472 &amp; F$=34.716^{***}$ \\ 
## X &amp; 854 &amp; 890 &amp; 470 &amp; 793 &amp; 753 &amp; 472 &amp; F$=34.716^{***}$ \\ 
## Status &amp; 854 &amp; 0 &amp; 0 &amp; 793 &amp; 0 &amp; 0 &amp;  \\ 
## Progress &amp; 854 &amp; 100 &amp; 0 &amp; 793 &amp; 100 &amp; 0 &amp; F$=1.077^{}$ \\ 
## Duration..in.seconds. &amp; 854 &amp; 543 &amp; 1357 &amp; 793 &amp; 584 &amp; 724 &amp; F$=0.562^{}$ \\ 
## Finished &amp; 854 &amp; 1 &amp; 0 &amp; 793 &amp; 1 &amp; 0 &amp; F$=1.077^{}$ \\ 
## RecipientLastName &amp; 0 &amp;  &amp;  &amp; 0 &amp;  &amp;  &amp;  \\ 
## ... No &amp; 0 &amp;  &amp;  &amp; 0 &amp;  &amp;  &amp;  \\ 
## ... Yes &amp; 0 &amp;  &amp;  &amp; 0 &amp;  &amp;  &amp;  \\ 
## RecipientFirstName &amp; 0 &amp;  &amp;  &amp; 0 &amp;  &amp;  &amp;  \\ 
## ... No &amp; 0 &amp;  &amp;  &amp; 0 &amp;  &amp;  &amp;  \\ 
## ... Yes &amp; 0 &amp;  &amp;  &amp; 0 &amp;  &amp;  &amp;  \\ 
## RecipientEmail &amp; 0 &amp;  &amp;  &amp; 0 &amp;  &amp;  &amp;  \\ 
## ... No &amp; 0 &amp;  &amp;  &amp; 0 &amp;  &amp;  &amp;  \\ 
## ... Yes &amp; 0 &amp;  &amp;  &amp; 0 &amp;  &amp;  &amp;  \\ 
## ExternalReference &amp; 0 &amp;  &amp;  &amp; 0 &amp;  &amp;  &amp;  \\ 
## ... No &amp; 0 &amp;  &amp;  &amp; 0 &amp;  &amp;  &amp;  \\ 
## ... Yes &amp; 0 &amp;  &amp;  &amp; 0 &amp;  &amp;  &amp;  \\ 
## LocationLatitude &amp; 854 &amp; 46 &amp; 3.2 &amp; 793 &amp; 46 &amp; 3.2 &amp; F$=0.016^{}$ \\ 
## LocationLongitude &amp; 854 &amp; -90 &amp; 19 &amp; 793 &amp; -89 &amp; 20 &amp; F$=0.626^{}$ \\ 
## DistributionChannel &amp; 854 &amp;  &amp;  &amp; 793 &amp;  &amp;  &amp;  \\ 
## ... anonymous &amp; 854 &amp; 100\% &amp;  &amp; 793 &amp; 100\% &amp;  &amp;  \\ 
## UserLanguage &amp; 854 &amp;  &amp;  &amp; 793 &amp;  &amp;  &amp;  \\ 
## ... EN &amp; 854 &amp; 100\% &amp;  &amp; 793 &amp; 100\% &amp;  &amp;  \\ 
## waiver &amp; 854 &amp; 1 &amp; 0 &amp; 793 &amp; 1 &amp; 0 &amp; F$=1.077^{}$ \\ 
## gender &amp; 854 &amp; 1.5 &amp; 0.5 &amp; 793 &amp; 1.5 &amp; 0.51 &amp; F$=0.008^{}$ \\ 
## yob &amp; 853 &amp; 1973 &amp; 17 &amp; 793 &amp; 1973 &amp; 17 &amp; F$=0.076^{}$ \\ 
## education &amp; 854 &amp; 4 &amp; 1.5 &amp; 793 &amp; 3.9 &amp; 1.5 &amp; F$=2.921^{*}$ \\ 
## leaning &amp; 854 &amp; 2.7 &amp; 0.96 &amp; 793 &amp; 2.7 &amp; 0.97 &amp; F$=0.065^{}$ \\ 
## income &amp; 854 &amp; 5 &amp; 2.9 &amp; 793 &amp; 5 &amp; 2.9 &amp; F$=0.004^{}$ \\ 
## internationalaffairs &amp; 854 &amp; 4.7 &amp; 1.6 &amp; 793 &amp; 4.7 &amp; 1.6 &amp; F$=0.208^{}$ \\ 
## attentioncheck &amp; 854 &amp;  &amp;  &amp; 793 &amp;  &amp;  &amp;  \\ 
## ... apple &amp; 854 &amp; 100\% &amp;  &amp; 793 &amp; 100\% &amp;  &amp;  \\ 
## knowledgecheck &amp; 854 &amp; 4.8 &amp; 0.82 &amp; 793 &amp; 4.7 &amp; 0.9 &amp; F$=0.499^{}$ \\ 
## US &amp; 854 &amp; 1.9 &amp; 0.33 &amp; 793 &amp; 1.9 &amp; 0.32 &amp; F$=0.079^{}$ \\ 
## family &amp; 854 &amp; 1.5 &amp; 0.5 &amp; 793 &amp; 1.5 &amp; 0.5 &amp; F$=0.737^{}$ \\ 
## uptakecheck &amp; 0 &amp;  &amp;  &amp; 790 &amp; 2.3 &amp; 1.5 &amp;  \\ 
## now &amp; 854 &amp; 4.1 &amp; 1.9 &amp; 793 &amp; 4.1 &amp; 1.9 &amp; F$=0.032^{}$ \\ 
## tenyears &amp; 854 &amp; 4 &amp; 1.7 &amp; 793 &amp; 3.9 &amp; 1.7 &amp; F$=0.748^{}$ \\ 
## shouldlead &amp; 854 &amp; 4.8 &amp; 1.5 &amp; 793 &amp; 4.4 &amp; 1.6 &amp; F$=36.88^{***}$ \\ 
## deservelead &amp; 854 &amp; 4.3 &amp; 1.6 &amp; 793 &amp; 3.9 &amp; 1.6 &amp; F$=20.81^{***}$ \\ 
## ownperception &amp; 854 &amp; 4.2 &amp; 1.5 &amp; 793 &amp; 4 &amp; 1.5 &amp; F$=6.96^{***}$ \\ 
## otherperception &amp; 854 &amp; 3.4 &amp; 1.5 &amp; 793 &amp; 3.2 &amp; 1.5 &amp; F$=6.766^{***}$ \\ 
## respect &amp; 854 &amp; 3.9 &amp; 1.4 &amp; 793 &amp; 3.6 &amp; 1.4 &amp; F$=11.852^{***}$ \\ 
## morality &amp; 854 &amp; 3.6 &amp; 1.5 &amp; 793 &amp; 3.4 &amp; 1.5 &amp; F$=5.746^{**}$ \\ 
## principles &amp; 854 &amp; 3.8 &amp; 1.5 &amp; 793 &amp; 3.5 &amp; 1.5 &amp; F$=13.008^{***}$ \\ 
## emulation &amp; 854 &amp; 3.7 &amp; 1.6 &amp; 793 &amp; 3.4 &amp; 1.6 &amp; F$=11.295^{***}$ \\ 
## rightthing &amp; 854 &amp; 3.9 &amp; 1.6 &amp; 793 &amp; 3.6 &amp; 1.5 &amp; F$=11.291^{***}$ \\ 
## better &amp; 854 &amp; 3.9 &amp; 1.5 &amp; 793 &amp; 3.6 &amp; 1.5 &amp; F$=20.599^{***}$ \\ 
## domore &amp; 854 &amp; 4.4 &amp; 1.5 &amp; 793 &amp; 4 &amp; 1.5 &amp; F$=29.927^{***}$ \\ 
## tpp &amp; 854 &amp; 4.5 &amp; 1.4 &amp; 793 &amp; 4.3 &amp; 1.4 &amp; F$=3.436^{*}$ \\ 
## exercise &amp; 854 &amp; 4.7 &amp; 1.6 &amp; 793 &amp; 4.5 &amp; 1.7 &amp; F$=5.868^{**}$ \\ 
## hawk1 &amp; 854 &amp; 3.6 &amp; 1.8 &amp; 793 &amp; 3.5 &amp; 1.8 &amp; F$=3.463^{*}$ \\ 
## hawk2 &amp; 854 &amp; 4.3 &amp; 1.7 &amp; 793 &amp; 4.2 &amp; 1.6 &amp; F$=1.224^{}$ \\ 
## hawk3 &amp; 854 &amp; 3.9 &amp; 1.7 &amp; 793 &amp; 3.7 &amp; 1.6 &amp; F$=5.319^{**}$ \\ 
## Create.New.Field.or.Choose.From.Dropdown... &amp; 0 &amp;  &amp;  &amp; 0 &amp;  &amp;  &amp;  \\ 
## ... No &amp; 0 &amp;  &amp;  &amp; 0 &amp;  &amp;  &amp;  \\ 
## ... Yes &amp; 0 &amp;  &amp;  &amp; 0 &amp;  &amp;  &amp;  \\ 
## group &amp; 854 &amp;  &amp;  &amp; 793 &amp;  &amp;  &amp; X2$=1642.997^{***}$ \\ 
## ... Control &amp; 854 &amp; 100\% &amp;  &amp; 0 &amp; 0\% &amp;  &amp;  \\ 
## ... Treatment &amp; 0 &amp; 0\% &amp;  &amp; 793 &amp; 100\% &amp;  &amp;  \\ 
## male &amp; 854 &amp; 0.5 &amp; 0.5 &amp; 793 &amp; 0.5 &amp; 0.5 &amp; F$=0.016^{}$ \\ 
## age &amp; 853 &amp; 48 &amp; 17 &amp; 793 &amp; 48 &amp; 17 &amp; F$=0.076^{}$ \\ 
## rankingscore &amp; 854 &amp; 4.3 &amp; 1 &amp; 793 &amp; 4.1 &amp; 1.1 &amp; F$=17.409^{***}$ \\ 
## respectscore &amp; 854 &amp; 3.8 &amp; 1.2 &amp; 793 &amp; 3.5 &amp; 1.2 &amp; F$=13.659^{***}$ \\ 
## competencescore &amp; 854 &amp; 4.1 &amp; 1.3 &amp; 793 &amp; 3.7 &amp; 1.3 &amp; F$=26.58^{***}$ \\ 
## statusscore &amp; 854 &amp; 4 &amp; 1 &amp; 793 &amp; 3.8 &amp; 1 &amp; F$=26.061^{***}$\\ 
## \hline
## \hline
## \multicolumn{8}{l}{Statistical significance markers: * p&lt;0.1; ** p&lt;0.05; *** p&lt;0.01}\\ 
## \end{tabular}
## }
## \end{table}</code></pre>
<pre class="r"><code>##########
##T-TESTS#
##########

##T-test
tranking &lt;- t.test(rankingscore~treatment, data=data)
trespect &lt;- t.test(respectscore~treatment, data=data)
tcompetence &lt;- t.test(competencescore~treatment, data=data)

##ranking t-test plot##

rankingplot &lt;- ggboxplot(data, x = &quot;treatment&quot;, y = &quot;rankingscore&quot;,
          ylab = &quot;Ranking&quot;, xlab = &quot;&quot;) +
          ylim(0,7.5)

rankingplot &lt;- rankingplot + scale_x_discrete(labels=c(&quot;0&quot; = &quot;Control&quot;, &quot;1&quot; = &quot;Treatment&quot;))
rankingplot &lt;- rankingplot + stat_compare_means(method = &quot;t.test&quot;)


##respect t-test plot##

respectplot &lt;- ggboxplot(data, x = &quot;treatment&quot;, y = &quot;respectscore&quot;,
          ylab = &quot;Respect&quot;, xlab = &quot;&quot;) +
          ylim(0,7.5)

respectplot &lt;- respectplot + scale_x_discrete(labels=c(&quot;0&quot; = &quot;Control&quot;, &quot;1&quot; = &quot;Treatment&quot;))
respectplot &lt;- respectplot + stat_compare_means(method = &quot;t.test&quot;)


##competence t.test plot## 

competenceplot &lt;- ggboxplot(data, x = &quot;treatment&quot;, y = &quot;competencescore&quot;,
          ylab = &quot;Competence&quot;, xlab = &quot;&quot;) +
          ylim(0,7.5)

competenceplot &lt;- competenceplot + scale_x_discrete(labels=c(&quot;0&quot; = &quot;Control&quot;, &quot;1&quot; = &quot;Treatment&quot;))
competenceplot &lt;- competenceplot + stat_compare_means(method = &quot;t.test&quot;) + geom_boxplot(outlier.shape = NA)

##combining t-test plots

ttestplots &lt;- ggarrange(rankingplot, respectplot, competenceplot,
ncol = 3, nrow = 1)

##call t-test plots
ttestplots</code></pre>
<p><img role="img" 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" width="672" /></p>
<pre class="r"><code>############################
##APPENDIX 4: PCA ANALYSIS##
############################

status.pca &lt;- prcomp(data[,c(33:45)], center = TRUE,scale. = TRUE)

pcaplot &lt;- autoplot(status.pca, data = data, size = 0.75,
         loadings = TRUE, loadings.label = TRUE,
         loadings.label.size = 4, loadings.label.colour = &#39;blue&#39;,
         loadings.label.vjust = 0.75,
         loadings.label.hjust = 0.05,
         loadings.colour = &#39;blue&#39;)

pcaplot &lt;- pcaplot + theme_classic()

#Call PCA plot
pcaplot</code></pre>
<p><img role="img" 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" width="672" /></p>
<pre class="r"><code>#############################################
##APPENDIX 5: REGRESSIONS WITHIOUT CONTROLS## 
#############################################

#Replicating Table 2

rankingpuremodel &lt;- lm(formula = rankingscore ~ treatment, data = data)
respectpuremodel &lt;- lm(formula = respectscore ~ treatment, data = data)
competencepuremodel &lt;- lm(formula = competencescore ~ treatment, data = data)
stargazer(rankingpuremodel, respectpuremodel, competencepuremodel, type = &quot;latex&quot;)</code></pre>
<pre><code>## 
## % Table created by stargazer v.5.2.3 by Marek Hlavac, Social Policy Institute. E-mail: marek.hlavac at gmail.com
## % Date and time: Tue, Apr 29, 2025 - 4:15:38 PM
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lccc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{3}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-4} 
## \\[-1.8ex] &amp; rankingscore &amp; respectscore &amp; competencescore \\ 
## \\[-1.8ex] &amp; (1) &amp; (2) &amp; (3)\\ 
## \hline \\[-1.8ex] 
##  treatment &amp; $-$0.219$^{***}$ &amp; $-$0.223$^{***}$ &amp; $-$0.331$^{***}$ \\ 
##   &amp; (0.052) &amp; (0.060) &amp; (0.064) \\ 
##   &amp; &amp; &amp; \\ 
##  Constant &amp; 4.294$^{***}$ &amp; 3.760$^{***}$ &amp; 4.058$^{***}$ \\ 
##   &amp; (0.036) &amp; (0.042) &amp; (0.045) \\ 
##   &amp; &amp; &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 1,647 &amp; 1,647 &amp; 1,647 \\ 
## R$^{2}$ &amp; 0.010 &amp; 0.008 &amp; 0.016 \\ 
## Adjusted R$^{2}$ &amp; 0.010 &amp; 0.008 &amp; 0.015 \\ 
## Residual Std. Error (df = 1645) &amp; 1.062 &amp; 1.226 &amp; 1.303 \\ 
## F Statistic (df = 1; 1645) &amp; 17.409$^{***}$ &amp; 13.659$^{***}$ &amp; 26.580$^{***}$ \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{3}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<pre class="r"><code>#Replicating Figure 2

#RANKING
nowpuremodel &lt;- lm(formula = now ~ treatment, data = data)
tenyearspuremodel &lt;- lm(formula = tenyears ~ treatment, data = data)
shouldleadpuremodel &lt;- lm(formula = shouldlead ~ treatment, data = data)
deserveleadpuremodel &lt;- lm(formula = deservelead ~ treatment, data = data)


##full
rankingpuremodelfull &lt;- plot_summs(nowpuremodel, tenyearspuremodel, shouldleadpuremodel, deserveleadmodel, scale = TRUE, ci_level = 0.95, inner_ci_level = .834, coefs = c(&quot;Delegitimation (treatment)&quot; = &quot;treatment&quot;), model.names = c(&quot;US ranking now&quot;, &quot;US ranking in ten years&quot;, &quot;Should US lead?&quot;, &quot;Does the US deserve to lead?&quot;))


#RESPECT
ownperceptionpuremodel &lt;- lm(formula = ownperception ~ treatment, data = data)
otherperceptionpuremodel &lt;- lm(formula = otherperception ~ treatment, data = data)
respectrpuremodel &lt;- lm(formula = respect ~ treatment, data = data)
moralitypuremodel &lt;- lm(formula = morality ~ treatment, data = data)
principlespuremodel &lt;- lm(formula = principles ~ treatment, data = data)
emulationpuremodel &lt;- lm(formula = emulation ~ treatment, data = data)

##full
respectrpuremodelfull &lt;- plot_summs(ownperceptionpuremodel, otherperceptionpuremodel, respectrpuremodel, moralitypuremodel, principlespuremodel, emulationpuremodel, scale = TRUE, ci_level = 0.95, inner_ci_level = .834, coefs = c(&quot;Delegitimation (treatment)&quot; = &quot;treatment&quot;), model.names = c(&quot;Own perception of US&quot;, &quot;Others&#39; perception of US&quot;, &quot;Do people respect the US?&quot;, &quot;Does the US act on morality??&quot;, &quot;Does the US act on principles? &quot;, &quot;Is the US a model for emulation?&quot;))


#COMPETENCE

rightthingpuremodel &lt;- lm(formula = rightthing ~ treatment, data = data)
betterpuremodel &lt;- lm(formula = better ~ treatment, data = data)
domorepuremodel &lt;- lm(formula = domore ~ treatment, data = data)

##full

competencepuremodelfull &lt;- plot_summs(rightthingpuremodel, betterpuremodel, domorepuremodel, deserveleadmodel, scale = TRUE, inner_ci_level = .834, coefs = c(&quot;Delegitimation (treatment)&quot; = &quot;treatment&quot;), model.names = c(&quot;Do the right thing?&quot;, &quot;Does the US make the world better?&quot;, &quot;Should the US do more?&quot;))


appendixpuregraph &lt;- ggarrange(rankingpuremodelfull, respectrpuremodelfull, competencepuremodelfull,
ncol = 1, nrow = 3)

#Replicating Figure 

appendixpuregraph</code></pre>
<p><img role="img" src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>#Replicating Figure 3

#delegitimation -&gt; exercises
puremildirectmodel &lt;- lm(formula = exercise ~ treatment, data = data)


#delegitimation -&gt; status 
puremed.status &lt;- lm(statusscore ~ treatment, data = data)

#status -&gt; exercises 
puremil.status &lt;- lm(exercise ~ statusscore + treatment, data = data)

#call mediation effects 
puremilmediation &lt;- mediate(puremed.status, puremil.status, treat = &quot;treatment&quot;, mediator = &quot;statusscore&quot;, robustSE = F , boot = TRUE, sims = 2000, conf.level = .95)</code></pre>
<pre><code>## Running nonparametric bootstrap</code></pre>
<pre class="r"><code>summary(puremilmediation, type = &quot;latex&quot;)</code></pre>
<pre><code>## 
## Causal Mediation Analysis 
## 
## Nonparametric Bootstrap Confidence Intervals with the Percentile Method
## 
##                Estimate 95% CI Lower 95% CI Upper p-value    
## ACME           -0.19109     -0.26457        -0.12  &lt;2e-16 ***
## ADE            -0.00581     -0.14944         0.14    0.94    
## Total Effect   -0.19690     -0.35213        -0.03    0.02 *  
## Prop. Mediated  0.97047      0.50504         3.87    0.02 *  
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 
## Sample Size Used: 1647 
## 
## 
## Simulations: 2000</code></pre>
<pre class="r"><code>#stargazer(puremed.status, puremil.status, puremildirectmodel, type = &quot;latex&quot;)


#Replicating Figure 4 

#delegitimation -&gt; tpp
puretppdirectmodel &lt;- lm(formula = tpp ~ treatment, data = data)

#status -&gt; tpp 
puretpp.status &lt;- lm(tpp ~ statusscore + treatment, data = data)


##call mediation on tpp 
puretppmediation &lt;- mediate(puremed.status, puretpp.status, treat = &quot;treatment&quot;, mediator = &quot;statusscore&quot;, robustSE = F , boot = TRUE, sims = 2000, conf.level = .95)</code></pre>
<pre><code>## Running nonparametric bootstrap</code></pre>
<pre class="r"><code>summary(puretppmediation, type = &quot;latex&quot;)</code></pre>
<pre><code>## 
## Causal Mediation Analysis 
## 
## Nonparametric Bootstrap Confidence Intervals with the Percentile Method
## 
##                Estimate 95% CI Lower 95% CI Upper p-value    
## ACME            -0.1508      -0.2101        -0.09  &lt;2e-16 ***
## ADE              0.0258      -0.0913         0.15   0.688    
## Total Effect    -0.1250      -0.2563         0.01   0.068 .  
## Prop. Mediated   1.2061      -2.3021         6.93   0.068 .  
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 
## Sample Size Used: 1647 
## 
## 
## Simulations: 2000</code></pre>
<pre class="r"><code>#stargazer(puremed.status, puretpp.status, puretppdirectmodel, type = &quot;latex&quot;)</code></pre>
<pre class="r"><code>#############################################################
####APPPENDIX 6: FULL REGRESSION TABLE FOR MIL MEDIATION#####
#############################################################

stargazer(med.status, mil.status, mildirectmodel, type = &quot;latex&quot;)</code></pre>
<pre><code>## 
## % Table created by stargazer v.5.2.3 by Marek Hlavac, Social Policy Institute. E-mail: marek.hlavac at gmail.com
## % Date and time: Tue, Apr 29, 2025 - 4:17:17 PM
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lccc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{3}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-4} 
## \\[-1.8ex] &amp; statusscore &amp; \multicolumn{2}{c}{exercise} \\ 
## \\[-1.8ex] &amp; (1) &amp; (2) &amp; (3)\\ 
## \hline \\[-1.8ex] 
##  statusscore &amp;  &amp; 0.706$^{***}$ &amp;  \\ 
##   &amp;  &amp; (0.035) &amp;  \\ 
##   &amp; &amp; &amp; \\ 
##  treatment &amp; $-$0.261$^{***}$ &amp; $-$0.016 &amp; $-$0.200$^{**}$ \\ 
##   &amp; (0.050) &amp; (0.072) &amp; (0.079) \\ 
##   &amp; &amp; &amp; \\ 
##  age &amp; 0.004$^{***}$ &amp; 0.008$^{***}$ &amp; 0.010$^{***}$ \\ 
##   &amp; (0.002) &amp; (0.002) &amp; (0.002) \\ 
##   &amp; &amp; &amp; \\ 
##  male &amp; 0.068 &amp; 0.351$^{***}$ &amp; 0.399$^{***}$ \\ 
##   &amp; (0.052) &amp; (0.073) &amp; (0.081) \\ 
##   &amp; &amp; &amp; \\ 
##  education &amp; $-$0.015 &amp; 0.005 &amp; $-$0.005 \\ 
##   &amp; (0.018) &amp; (0.025) &amp; (0.028) \\ 
##   &amp; &amp; &amp; \\ 
##  leaning &amp; $-$0.006 &amp; 0.020 &amp; 0.015 \\ 
##   &amp; (0.026) &amp; (0.037) &amp; (0.042) \\ 
##   &amp; &amp; &amp; \\ 
##  income &amp; 0.024$^{**}$ &amp; 0.022$^{*}$ &amp; 0.039$^{***}$ \\ 
##   &amp; (0.009) &amp; (0.013) &amp; (0.015) \\ 
##   &amp; &amp; &amp; \\ 
##  internationalaffairs &amp; 0.048$^{***}$ &amp; 0.059$^{**}$ &amp; 0.093$^{***}$ \\ 
##   &amp; (0.016) &amp; (0.023) &amp; (0.026) \\ 
##   &amp; &amp; &amp; \\ 
##  Constant &amp; 3.540$^{***}$ &amp; 0.885$^{***}$ &amp; 3.383$^{***}$ \\ 
##   &amp; (0.139) &amp; (0.233) &amp; (0.220) \\ 
##   &amp; &amp; &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 1,646 &amp; 1,646 &amp; 1,646 \\ 
## R$^{2}$ &amp; 0.035 &amp; 0.244 &amp; 0.056 \\ 
## Adjusted R$^{2}$ &amp; 0.031 &amp; 0.240 &amp; 0.052 \\ 
## Residual Std. Error &amp; 1.016 (df = 1638) &amp; 1.438 (df = 1637) &amp; 1.606 (df = 1638) \\ 
## F Statistic &amp; 8.467$^{***}$ (df = 7; 1638) &amp; 66.070$^{***}$ (df = 8; 1637) &amp; 13.972$^{***}$ (df = 7; 1638) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{3}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<pre class="r"><code>summary(milmediation, type = &quot;latex&quot;)</code></pre>
<pre><code>## 
## Causal Mediation Analysis 
## 
## Nonparametric Bootstrap Confidence Intervals with the Percentile Method
## 
##                Estimate 95% CI Lower 95% CI Upper p-value    
## ACME            -0.1841      -0.2584        -0.12  &lt;2e-16 ***
## ADE             -0.0156      -0.1589         0.12    0.80    
## Total Effect    -0.1996      -0.3656        -0.06    0.01 ** 
## Prop. Mediated   0.9220       0.4878         2.69    0.01 ** 
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 
## Sample Size Used: 1646 
## 
## 
## Simulations: 2000</code></pre>
<pre class="r"><code>#############################################################
####APPPENDIX 7: FULL REGRESSION TABLE FOR TPP MEDIATION#####
#############################################################

stargazer(med.status, tpp.status, tppdirectmodel, type = &quot;latex&quot;)</code></pre>
<pre><code>## 
## % Table created by stargazer v.5.2.3 by Marek Hlavac, Social Policy Institute. E-mail: marek.hlavac at gmail.com
## % Date and time: Tue, Apr 29, 2025 - 4:17:17 PM
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lccc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{3}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-4} 
## \\[-1.8ex] &amp; statusscore &amp; \multicolumn{2}{c}{tpp} \\ 
## \\[-1.8ex] &amp; (1) &amp; (2) &amp; (3)\\ 
## \hline \\[-1.8ex] 
##  statusscore &amp;  &amp; 0.554$^{***}$ &amp;  \\ 
##   &amp;  &amp; (0.029) &amp;  \\ 
##   &amp; &amp; &amp; \\ 
##  treatment &amp; $-$0.261$^{***}$ &amp; 0.022 &amp; $-$0.123$^{*}$ \\ 
##   &amp; (0.050) &amp; (0.059) &amp; (0.065) \\ 
##   &amp; &amp; &amp; \\ 
##  age &amp; 0.004$^{***}$ &amp; 0.013$^{***}$ &amp; 0.015$^{***}$ \\ 
##   &amp; (0.002) &amp; (0.002) &amp; (0.002) \\ 
##   &amp; &amp; &amp; \\ 
##  male &amp; 0.068 &amp; 0.025 &amp; 0.063 \\ 
##   &amp; (0.052) &amp; (0.061) &amp; (0.067) \\ 
##   &amp; &amp; &amp; \\ 
##  education &amp; $-$0.015 &amp; 0.042$^{**}$ &amp; 0.034 \\ 
##   &amp; (0.018) &amp; (0.021) &amp; (0.023) \\ 
##   &amp; &amp; &amp; \\ 
##  leaning &amp; $-$0.006 &amp; $-$0.166$^{***}$ &amp; $-$0.169$^{***}$ \\ 
##   &amp; (0.026) &amp; (0.031) &amp; (0.034) \\ 
##   &amp; &amp; &amp; \\ 
##  income &amp; 0.024$^{**}$ &amp; 0.001 &amp; 0.014 \\ 
##   &amp; (0.009) &amp; (0.011) &amp; (0.012) \\ 
##   &amp; &amp; &amp; \\ 
##  internationalaffairs &amp; 0.048$^{***}$ &amp; 0.081$^{***}$ &amp; 0.107$^{***}$ \\ 
##   &amp; (0.016) &amp; (0.019) &amp; (0.021) \\ 
##   &amp; &amp; &amp; \\ 
##  Constant &amp; 3.540$^{***}$ &amp; 1.514$^{***}$ &amp; 3.477$^{***}$ \\ 
##   &amp; (0.139) &amp; (0.193) &amp; (0.181) \\ 
##   &amp; &amp; &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 1,646 &amp; 1,646 &amp; 1,646 \\ 
## R$^{2}$ &amp; 0.035 &amp; 0.242 &amp; 0.074 \\ 
## Adjusted R$^{2}$ &amp; 0.031 &amp; 0.239 &amp; 0.070 \\ 
## Residual Std. Error &amp; 1.016 (df = 1638) &amp; 1.193 (df = 1637) &amp; 1.319 (df = 1638) \\ 
## F Statistic &amp; 8.467$^{***}$ (df = 7; 1638) &amp; 65.500$^{***}$ (df = 8; 1637) &amp; 18.641$^{***}$ (df = 7; 1638) \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{3}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<pre class="r"><code>summary(tppmediation, type = &quot;latex&quot;)</code></pre>
<pre><code>## 
## Causal Mediation Analysis 
## 
## Nonparametric Bootstrap Confidence Intervals with the Percentile Method
## 
##                Estimate 95% CI Lower 95% CI Upper p-value    
## ACME             -0.145       -0.202        -0.09  &lt;2e-16 ***
## ADE               0.022       -0.102         0.14   0.745    
## Total Effect     -0.123       -0.253         0.00   0.055 .  
## Prop. Mediated    1.179       -1.353         6.37   0.055 .  
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
## 
## Sample Size Used: 1646 
## 
## 
## Simulations: 2000</code></pre>
<pre class="r"><code>########################################
##APPENDIX #8: MIL MEDATION SENSITIVITY#
########################################

milsensitivity &lt;- medsens(milmediation, rho.by = 0.1, effect.type = &quot;indirect&quot;, sims = 2000)

summary(milsensitivity)</code></pre>
<pre><code>## 
## Mediation Sensitivity Analysis for Average Causal Mediation Effect
## 
## Rho at which ACME = 0: 0.4
## R^2_M*R^2_Y* at which ACME = 0: 0.16
## R^2_M~R^2_Y~ at which ACME = 0: 0.1167</code></pre>
<pre class="r"><code>plot(milsensitivity)</code></pre>
<p><img role="img" src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>#########################################
##APPENDIX #8: TPP MEDIATION SENSITIVITY#
#########################################

#tpp sensitivity 

tppsensitivity &lt;- medsens(tppmediation, rho.by = 0.1, effect.type = &quot;indirect&quot;, sims = 2000)
summary(tppsensitivity)</code></pre>
<pre><code>## 
## Mediation Sensitivity Analysis for Average Causal Mediation Effect
## 
## Sensitivity Region
## 
##      Rho    ACME 95% CI Lower 95% CI Upper R^2_M*R^2_Y* R^2_M~R^2_Y~
## [1,] 0.4 -0.0109      -0.0262       0.0045         0.16        0.117
## 
## Rho at which ACME = 0: 0.4
## R^2_M*R^2_Y* at which ACME = 0: 0.16
## R^2_M~R^2_Y~ at which ACME = 0: 0.117</code></pre>
<pre class="r"><code>plot(tppsensitivity)</code></pre>
<p><img role="img" src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>###################################
###APPENDIX 9: SUBGROUP ANALYSIS###
###################################

#age, male, education, income, international affairs

subrankingmodel &lt;- lm(formula = rankingscore ~ treatment + age + male + education + income + internationalaffairs + treatment*age + treatment*male + treatment*education + treatment*income + treatment*internationalaffairs, data = data)

subrespectmodel &lt;- lm(formula = respectscore ~ treatment + age + male + education + income + internationalaffairs + treatment*age + treatment*male + treatment*education + treatment*income + treatment*internationalaffairs, data = data)

subcompetencemodel &lt;- lm(formula = competencescore ~ treatment + age + male + education + income + internationalaffairs + treatment*age + treatment*male + treatment*education + treatment*income + treatment*internationalaffairs, data = data)

#Call Appendix 9 regression table
stargazer(subrankingmodel, subrespectmodel, subcompetencemodel, type = &quot;latex&quot;)</code></pre>
<pre><code>## 
## % Table created by stargazer v.5.2.3 by Marek Hlavac, Social Policy Institute. E-mail: marek.hlavac at gmail.com
## % Date and time: Tue, Apr 29, 2025 - 4:17:25 PM
## \begin{table}[!htbp] \centering 
##   \caption{} 
##   \label{} 
## \begin{tabular}{@{\extracolsep{5pt}}lccc} 
## \\[-1.8ex]\hline 
## \hline \\[-1.8ex] 
##  &amp; \multicolumn{3}{c}{\textit{Dependent variable:}} \\ 
## \cline{2-4} 
## \\[-1.8ex] &amp; rankingscore &amp; respectscore &amp; competencescore \\ 
## \\[-1.8ex] &amp; (1) &amp; (2) &amp; (3)\\ 
## \hline \\[-1.8ex] 
##  treatment &amp; 0.091 &amp; 0.156 &amp; $-$0.010 \\ 
##   &amp; (0.244) &amp; (0.286) &amp; (0.304) \\ 
##   &amp; &amp; &amp; \\ 
##  age &amp; 0.006$^{***}$ &amp; 0.004 &amp; 0.006$^{**}$ \\ 
##   &amp; (0.002) &amp; (0.002) &amp; (0.003) \\ 
##   &amp; &amp; &amp; \\ 
##  male &amp; 0.123$^{*}$ &amp; 0.046 &amp; 0.053 \\ 
##   &amp; (0.073) &amp; (0.086) &amp; (0.091) \\ 
##   &amp; &amp; &amp; \\ 
##  education &amp; $-$0.011 &amp; $-$0.045 &amp; $-$0.055$^{*}$ \\ 
##   &amp; (0.025) &amp; (0.029) &amp; (0.031) \\ 
##   &amp; &amp; &amp; \\ 
##  income &amp; 0.023$^{*}$ &amp; 0.003 &amp; 0.022 \\ 
##   &amp; (0.013) &amp; (0.016) &amp; (0.017) \\ 
##   &amp; &amp; &amp; \\ 
##  internationalaffairs &amp; 0.105$^{***}$ &amp; 0.084$^{***}$ &amp; 0.090$^{***}$ \\ 
##   &amp; (0.023) &amp; (0.027) &amp; (0.029) \\ 
##   &amp; &amp; &amp; \\ 
##  treatment:age &amp; 0.001 &amp; $-$0.006$^{*}$ &amp; $-$0.003 \\ 
##   &amp; (0.003) &amp; (0.004) &amp; (0.004) \\ 
##   &amp; &amp; &amp; \\ 
##  treatment:male &amp; 0.080 &amp; $-$0.055 &amp; $-$0.090 \\ 
##   &amp; (0.106) &amp; (0.124) &amp; (0.131) \\ 
##   &amp; &amp; &amp; \\ 
##  treatment:education &amp; 0.041 &amp; 0.052 &amp; 0.056 \\ 
##   &amp; (0.036) &amp; (0.042) &amp; (0.045) \\ 
##   &amp; &amp; &amp; \\ 
##  treatment:income &amp; $-$0.006 &amp; 0.032 &amp; 0.018 \\ 
##   &amp; (0.019) &amp; (0.022) &amp; (0.024) \\ 
##   &amp; &amp; &amp; \\ 
##  treatment:internationalaffairs &amp; $-$0.109$^{***}$ &amp; $-$0.090$^{**}$ &amp; $-$0.092$^{**}$ \\ 
##   &amp; (0.034) &amp; (0.039) &amp; (0.042) \\ 
##   &amp; &amp; &amp; \\ 
##  Constant &amp; 3.362$^{***}$ &amp; 3.309$^{***}$ &amp; 3.444$^{***}$ \\ 
##   &amp; (0.169) &amp; (0.198) &amp; (0.210) \\ 
##   &amp; &amp; &amp; \\ 
## \hline \\[-1.8ex] 
## Observations &amp; 1,646 &amp; 1,646 &amp; 1,646 \\ 
## R$^{2}$ &amp; 0.054 &amp; 0.022 &amp; 0.034 \\ 
## Adjusted R$^{2}$ &amp; 0.047 &amp; 0.016 &amp; 0.027 \\ 
## Residual Std. Error (df = 1634) &amp; 1.042 &amp; 1.221 &amp; 1.295 \\ 
## F Statistic (df = 11; 1634) &amp; 8.422$^{***}$ &amp; 3.399$^{***}$ &amp; 5.206$^{***}$ \\ 
## \hline 
## \hline \\[-1.8ex] 
## \textit{Note:}  &amp; \multicolumn{3}{r}{$^{*}$p$&lt;$0.1; $^{**}$p$&lt;$0.05; $^{***}$p$&lt;$0.01} \\ 
## \end{tabular} 
## \end{table}</code></pre>
<pre class="r"><code>####################################
#APPENDIX 9 MIL SUBGROUP MEDIATION#
####################################

submed.status &lt;- lm(statusscore ~ treatment*internationalaffairs + age + male + education + leaning + income, data = data)

#status -&gt; exercises 
submil.status &lt;- lm(exercise ~ treatment*internationalaffairs + statusscore*internationalaffairs + age + male + education + leaning + income + internationalaffairs, data = data)

submilmediation &lt;- mediate(submed.status, submil.status, treat = &quot;treatment&quot;, mediator = &quot;statusscore&quot;, robustSE = F , boot = TRUE, sims = 2000, conf.level = .95)</code></pre>
<pre><code>## Running nonparametric bootstrap</code></pre>
<pre class="r"><code>test.modmed(submilmediation, list(internationalaffairs = 1), list(internationalaffairs = 2), sims = 2000)</code></pre>
<pre><code>## Running nonparametric bootstrap
## 
## Running nonparametric bootstrap</code></pre>
<pre><code>## 
##  Test of ACME(covariates.1) - ACME(covariates.2) = 0
## 
## data:  estimates from submilmediation
## ACME(covariates.1) - ACME(covariates.2) = 0.052684, p-value = 0.608
## alternative hypothesis: true ACME(covariates.1) - ACME(covariates.2) is not equal to 0
## 95 percent confidence interval:
##  -0.1543027  0.2552550
## 
## 
##  Test of ADE(covariates.1) - ADE(covariates.2) = 0
## 
## data:  estimates from submilmediation
## ADE(covariates.1) - ADE(covariates.2) = 0.015657, p-value = 0.961
## alternative hypothesis: true ADE(covariates.1) - ADE(covariates.2) is not equal to 0
## 95 percent confidence interval:
##  -0.4920193  0.4960176</code></pre>
<pre class="r"><code>#####################################
#APPENDIX 9 TPP SUBGROUP MEDIATION##
#####################################

submed.status &lt;- lm(statusscore ~ treatment*internationalaffairs + age + male + education + leaning + income, data = data)

#status -&gt; exercises 
subtpp.status &lt;- lm(tpp ~ treatment*internationalaffairs + statusscore*internationalaffairs + age + male + education + leaning + income + internationalaffairs, data = data)

subtppmediation &lt;- mediate(submed.status, subtpp.status, treat = &quot;treatment&quot;, mediator = &quot;statusscore&quot;, robustSE = F , boot = TRUE, sims = 2000, conf.level = .95)</code></pre>
<pre><code>## Running nonparametric bootstrap</code></pre>
<pre class="r"><code>test.modmed(subtppmediation, list(internationalaffairs = 1), list(internationalaffairs = 2), sims = 2000)</code></pre>
<pre><code>## Running nonparametric bootstrap
## 
## Running nonparametric bootstrap</code></pre>
<pre><code>## 
##  Test of ACME(covariates.1) - ACME(covariates.2) = 0
## 
## data:  estimates from subtppmediation
## ACME(covariates.1) - ACME(covariates.2) = 0.056329, p-value = 0.605
## alternative hypothesis: true ACME(covariates.1) - ACME(covariates.2) is not equal to 0
## 95 percent confidence interval:
##  -0.1621729  0.2736888
## 
## 
##  Test of ADE(covariates.1) - ADE(covariates.2) = 0
## 
## data:  estimates from subtppmediation
## ADE(covariates.1) - ADE(covariates.2) = 0.0012705, p-value = 0.989
## alternative hypothesis: true ADE(covariates.1) - ADE(covariates.2) is not equal to 0
## 95 percent confidence interval:
##  -0.3971002  0.4215534</code></pre>




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